diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5b6a065 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +.Rproj.user +.Rhistory +.RData +.Ruserdata diff --git a/Report Sample.Rmd b/Report Sample.Rmd new file mode 100644 index 0000000..57d4bb4 --- /dev/null +++ b/Report Sample.Rmd @@ -0,0 +1,230 @@ +--- +title: "Report" +author: "Scary Scarecrow" +date: '`r format(Sys.Date())`' +output: + html_document: + includes: + before_body: "logo-option.html" + theme: flatly + # toc: true + # toc_float: true + code_download: true + code_folding: "show" + css: style.css + self_contained: true + +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set( + echo = FALSE, + message = FALSE, + warning = FALSE +) + +library(limer) +library(highcharter) +library(dplyr) +library(tidyr) +options(lime_api = 'https://survey.tools.lanubia.com/index.php/admin/remotecontrol') +options(lime_username = '') #enter id +options(lime_password = '') #enter password + +get_session_key() # Log in +survey_df<-call_limer(method='list_surveys') +responses <- get_responses(iSurveyID=89257, sResponseType='short') + +release_session_key() + +responses[responses=="AG1"] <- "1" +responses[responses=="AG2"] <- "2" +responses[responses=="AG3"] <- "3" +responses[responses=="AG4"] <- "4" +responses[responses=="AG5"] <- "5" + + +responses[] <- lapply(responses, as.character) + +responses<- + responses |> + select(-datasciencepro) |> + pivot_longer(cols = c(17:146)) |> + separate(name, c("group","sub_group","name")) + +df<- + responses |> + mutate(pillar= case_when( + group %in% c("datasource","datatype","dataquality","datastoragequality","safety","privacy") ~ "data", + group %in% c("involvement","open","competency","innovation","selfreliance","teamreliance","culture","knowledge","social") ~ "people", + group %in% c("strategy","operations","test", "qualityassurance") ~ "process", + group %in% c("infra","tools") ~ "technology", + group %in% c("datausage","perception") ~ "perception" + ) ) |> + select(c(id, submitdate, seed, gender, socio, education, education.other., department, department.other., management, directemployees, timespentwithdata, pillar, group, sub_group, name, value)) |> + mutate(value=as.numeric(value)) + +overall<-df |> + mutate(value=as.numeric(value)) |> + group_by(pillar) |> + summarise(value=round(mean(value, na.rm=T))) |> + filter(pillar != "perception") |> + arrange(value) + +perception<-df |> + filter(group == "perception") |> + mutate(value=as.numeric(value)) |> + mutate(sub_group=factor(sub_group, levels = c("beginner","Collector","Descriptor","Predictor","Expert"), labels = c("beginner","Collector","Descriptor","Predictor","Expert"))) |> + mutate(score=case_when( + sub_group=="beginner" ~ 1, + sub_group=="Collector" ~ 2, + sub_group=="Descriptor" ~ 3, + sub_group=="Predictor" ~ 4, + sub_group=="Expert" ~ 5 + )) |> + mutate(score=value*score) |> pull(value) |> mean() |> round() #Scoring unclear. Temporarily using mean + +overall.levels <- overall |> + mutate(value=factor(value, levels = c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), + labels = c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"))) |> + pull(value) |> levels() +``` + + +## Overall picture + + +```{r} + + + # hchart(overall,"column", hcaes(x=pillar, y=value)) |> + # hc_yAxis(categories=overall.levels, title="") |> + # hc_xAxis(title="") |> + # hc_title(text="Overall Picture") |> + # hc_credits( + # enabled = TRUE, + # text = "LaNubia Data Science", + # href = "https://www.lanubia.com/") |> + # hc_exporting( + # enabled = TRUE, # always enabled + # filename = "Overall" + # ) + +``` + + + + + +```{r} + +pdf<-data.frame(pillar=c("process","technology","people","data"), value=perception) + +Lvl1dfStatus <- tibble(name = overall$pillar, y = overall$value, drilldown = tolower(name)) + +Level_2_Drilldowns <- lapply(unique(overall$pillar), function(x_level) { + overall.group <- df[df$pillar == x_level,] + overall.group <- overall.group |> + group_by(group) |> + summarize(value = round(mean(value, na.rm=T)) + ) |> arrange(value) + + Lvl2dfStatus <- tibble(name = overall.group$group, y = overall.group$value, drilldown = tolower(paste(x_level, name, sep = "_"))) + list(id = tolower(x_level), type = "column", data = list_parse(Lvl2dfStatus), name="Score by Group") + }) + + +Level_3_Drilldowns <- lapply(unique(overall$pillar), function(x_level) { + overall.group <- df[df$pillar == x_level,] + lapply(unique(overall.group$group), function(y_level) { + overall.sub.group <- df[df$group == y_level,] + overall.sub.group <- overall.sub.group |> + group_by(sub_group) |> + summarize(value = round(mean(value, na.rm=T)) + ) |> arrange(value) + + Lvl3dfStatus <- tibble(name = overall.sub.group$sub_group,y = overall.sub.group$value) + list(id = tolower(paste(x_level, y_level, sep = "_")), type = "column", data = list_parse2(Lvl3dfStatus), name="Score by Sub Group") + }) + }) |> unlist(recursive = FALSE) + +highchart() |> + hc_xAxis(type = "category") |> + hc_add_series(Lvl1dfStatus, "column", hcaes(x = name, y = y),name = "Overall Score", showInLegend = F) |> + hc_add_series(pdf,"line",hcaes(x=pillar, y=value),enableMouseTracking=F, name="Perceived Mean Score") |> + hc_plotOptions(column = list(stacking = "normal"), lang=list(drillUpText ="Back")) |> + hc_drilldown( + allowPointDrilldown = TRUE, + series = c(Level_2_Drilldowns,Level_3_Drilldowns) + ) |> + hc_yAxis(categories=overall.levels, title="") |> + hc_xAxis(title="") |> + hc_title(text="'Data Driven' Status") |> + hc_subtitle(text="Click on bar for deep dive") |> + hc_credits( + enabled = TRUE, + text = "LaNubia Data Science", + href = "https://www.lanubia.com/" + ) |> + hc_tooltip() |> + hc_exporting( + enabled = TRUE, # always enabled + filename = "Error_Contact" + ) + +``` + + + +## By Pillars + +The highest performing pillars is/are `r overall[overall$value==max(overall$value),]$pillar` and lowest is/are `r overall[overall$value==min(overall$value),]$pillar`. + +Compared to the perceived mean maturity score (`r perception`), scores in the following are lower. + +```{r} +overall |> + filter(round(value) + filter(round(value)==round(perception)) +``` + + +and Following are higher than perception + +```{r} +overall |> + filter(round(value) + + + + + + + + + + + + + + +Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+

Overall picture

+
+ +
+
+

By Pillars

+

The highest performing pillars is/are data, people and lowest is/are process, technology.

+

Compared to the perceived mean maturity score (3), scores in the following are lower.

+
## # A tibble: 0 × 2
+## # … with 2 variables: pillar <chr>, value <dbl>
+

Following match the perception

+
## # A tibble: 2 × 2
+##   pillar     value
+##   <chr>      <dbl>
+## 1 process        3
+## 2 technology     3
+

and Following are higher than perception

+
## # A tibble: 0 × 2
+## # … with 2 variables: pillar <chr>, value <dbl>
+
+

People

+
+
+

Data

+
+
+

Process

+
+
+

Technology

+
+
+ +
---
title: "Report"
author: "Scary Scarecrow"
date: '`r format(Sys.Date())`'
output:
  html_document:
    includes:
      before_body: "logo-option.html"
    theme: flatly
    # toc: true
    # toc_float: true
    code_download: true
    code_folding: "show"
    css: style.css
    self_contained: true

---

```{r setup, include=FALSE}
knitr::opts_chunk$set(
	echo = FALSE,
	message = FALSE,
	warning = FALSE
)

library(limer)
library(highcharter)
library(dplyr)
library(tidyr)
options(lime_api = 'https://survey.tools.lanubia.com/index.php/admin/remotecontrol')
options(lime_username = 'asitav')
options(lime_password = 'LaNubia@2021')

get_session_key()  # Log in
survey_df<-call_limer(method='list_surveys')
responses <- get_responses(iSurveyID=89257,  sResponseType='short')

release_session_key()

responses[responses=="AG1"] <- "1"
responses[responses=="AG2"] <- "2"
responses[responses=="AG3"] <- "3"
responses[responses=="AG4"] <- "4"
responses[responses=="AG5"] <- "5"


responses[] <- lapply(responses, as.character)

responses<-
  responses |> 
  select(-datasciencepro) |> 
  pivot_longer(cols = c(17:146)) |> 
  separate(name, c("group","sub_group","name"))

df<-
  responses |> 
  mutate(pillar= case_when(
    group %in% c("datasource","datatype","dataquality","datastoragequality","safety","privacy") ~ "data",
    group %in% c("involvement","open","competency","innovation","selfreliance","teamreliance","culture","knowledge","social") ~ "people",
    group %in% c("strategy","operations","test", "qualityassurance") ~ "process",
    group %in% c("infra","tools") ~ "technology",
    group %in% c("datausage","perception") ~ "perception"
  ) ) |> 
  select(c(id, submitdate, seed, gender, socio, education, education.other., department, department.other., management, directemployees, timespentwithdata, pillar, group, sub_group, name, value)) |> 
  mutate(value=as.numeric(value))

overall<-df |> 
  mutate(value=as.numeric(value)) |> 
  group_by(pillar) |> 
  summarise(value=round(mean(value, na.rm=T))) |> 
  filter(pillar != "perception") |> 
  arrange(value)

perception<-df |> 
  filter(group == "perception") |> 
  mutate(value=as.numeric(value)) |> 
  mutate(sub_group=factor(sub_group, levels = c("beginner","Collector","Descriptor","Predictor","Expert"), labels = c("beginner","Collector","Descriptor","Predictor","Expert"))) |> 
  mutate(score=case_when(
    sub_group=="beginner" ~ 1,
    sub_group=="Collector" ~ 2,
    sub_group=="Descriptor" ~ 3,
    sub_group=="Predictor" ~ 4,
    sub_group=="Expert" ~ 5
  )) |> 
  mutate(score=value*score) |> pull(value) |> mean() |> round() #Scoring unclear. Temporarily using mean

overall.levels <- overall |> 
  mutate(value=factor(value, levels = c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"),
                      labels = c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"))) |> 
  pull(value) |> levels()
```


## Overall picture


```{r}


  # hchart(overall,"column", hcaes(x=pillar, y=value)) |> 
  #   hc_yAxis(categories=overall.levels, title="") |> 
  #   hc_xAxis(title="") |> 
  #   hc_title(text="Overall Picture") |> 
  #   hc_credits(
  #   enabled = TRUE,
  #   text = "LaNubia Data Science",
  #   href = "https://www.lanubia.com/") |> 
  #   hc_exporting(
  #   enabled = TRUE, # always enabled
  #   filename = "Overall"
  # )

```





```{r}

pdf<-data.frame(pillar=c("process","technology","people","data"), value=perception)

Lvl1dfStatus <- tibble(name = overall$pillar, y = overall$value, drilldown = tolower(name))

Level_2_Drilldowns <- lapply(unique(overall$pillar), function(x_level) {
      overall.group <- df[df$pillar == x_level,]
      overall.group <- overall.group |>
        group_by(group) |>
        summarize(value = round(mean(value, na.rm=T))
        ) |> arrange(value) 
      
      Lvl2dfStatus <- tibble(name = overall.group$group, y = overall.group$value, drilldown = tolower(paste(x_level, name, sep = "_")))
      list(id = tolower(x_level), type = "column", data = list_parse(Lvl2dfStatus), name="Score by Group")
    })


Level_3_Drilldowns <- lapply(unique(overall$pillar), function(x_level) {
      overall.group <- df[df$pillar == x_level,]
      lapply(unique(overall.group$group), function(y_level) {
        overall.sub.group <- df[df$group == y_level,]
        overall.sub.group <- overall.sub.group |>
          group_by(sub_group) |>
          summarize(value = round(mean(value, na.rm=T))
        ) |> arrange(value) 
        
        Lvl3dfStatus <- tibble(name = overall.sub.group$sub_group,y = overall.sub.group$value)
        list(id = tolower(paste(x_level, y_level, sep = "_")), type = "column", data = list_parse2(Lvl3dfStatus), name="Score by Sub Group")
      })
    }) |> unlist(recursive = FALSE)

highchart() |>
      hc_xAxis(type = "category") |>
      hc_add_series(Lvl1dfStatus, "column", hcaes(x = name, y = y),name = "Overall Score", showInLegend = F) |>
      hc_add_series(pdf,"line",hcaes(x=pillar, y=value),enableMouseTracking=F, name="Perceived Mean Score") |> 
      hc_plotOptions(column = list(stacking = "normal"), lang=list(drillUpText ="Back")) |>
      hc_drilldown(
        allowPointDrilldown = TRUE,
        series = c(Level_2_Drilldowns,Level_3_Drilldowns)
      ) |> 
  hc_yAxis(categories=overall.levels, title="") |> 
    hc_xAxis(title="") |> 
  hc_title(text="'Data Driven' Status") |> 
  hc_subtitle(text="Click on bar for deep dive") |> 
  hc_credits(
    enabled = TRUE,
    text = "LaNubia Data Science",
    href = "https://www.lanubia.com/"
  ) |> 
  hc_tooltip() |> 
        hc_exporting(
    enabled = TRUE, # always enabled
    filename = "Error_Contact"
  )

```



## By Pillars

The highest performing pillars is/are `r overall[overall$value==max(overall$value),]$pillar` and lowest is/are `r overall[overall$value==min(overall$value),]$pillar`.

Compared to the perceived mean maturity score (`r perception`), scores in the following are lower.

```{r}
overall |> 
  filter(round(value)<round(perception))
```


Following match the perception


```{r}
overall |> 
  filter(round(value)==round(perception))
```


and Following are higher than perception

```{r}
overall |> 
  filter(round(value)<round(perception))
```



### People

```{r}

```



### Data



### Process



### Technology






+ + + +
+ + + + + + + + + + + + + + + + diff --git a/finrep.html b/finrep.html new file mode 100644 index 0000000..54ddd78 --- /dev/null +++ b/finrep.html @@ -0,0 +1,987 @@ + + + + + + + + + + + + + + +Finance Transformation Survey Result + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + +
+

Intro

+

Here’s the report you asked for.

+
+
+

Data Extraction

+

Data extracted directly from ODK central and cleaned.

+
form_tables <- ruODK::odata_service_get()
+data <- ruODK::odata_submission_get()
+
+data<-
+  data%>%
+  select(-c(1,3,4:7,130:131))%>%
+  pivot_longer(c(2:123),"Questions")%>%
+  separate(Questions, into = c("Status","State","group_1","group_2","sub_group_1","sub_group_2","sub_group_3",
+                               "sub_group_4","sub_group_5","question"), sep="_")%>%
+  mutate(question=NA)%>%
+  mutate(question=ifelse(grepl("[Q*]",sub_group_5, ignore.case = T),sub_group_5,question))%>%
+  mutate(question=ifelse(grepl("[Q*]",sub_group_4, ignore.case = T),sub_group_4,question))%>%
+  mutate(question=ifelse(grepl("[Q*]",sub_group_3, ignore.case = T),sub_group_3,question))%>%
+  mutate(question=ifelse(grepl("[Q*]",sub_group_2, ignore.case = T),sub_group_2,question))%>%
+  mutate(sub_group_5=ifelse(sub_group_5==question,NA,sub_group_5))%>%
+  mutate(sub_group_4=ifelse(sub_group_4==question,NA,sub_group_4))%>%
+  mutate(sub_group_3=ifelse(sub_group_3==question,NA,sub_group_3))%>%
+  mutate(sub_group_2=ifelse(sub_group_2==question,NA,sub_group_2))%>%
+  mutate(sub_group=paste(sub_group_1,sub_group_2,sub_group_3,sub_group_4,sub_group_5), group=paste(group_1,group_2))%>%
+  select(c(1,2,14,13,11,12))
+data<-
+data%>%
+  mutate(sub_group=ifelse(grepl("corporate performance", sub_group,fixed=T),"corporate_performance",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("strategy roadmap", sub_group,fixed=T),"strategy_roadmap",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("investments", sub_group,fixed=T),"investments",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("treasury tax management", sub_group,fixed=T),"treasury_tax_management",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("budgeting planning forecasting", sub_group,fixed=T),"budgeting_planning_forecasting",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("risk management", sub_group,fixed=T),"risk_management",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("law regulation compliance", sub_group,fixed=T),"law_regulation_compliance",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("leadership change cooperation", sub_group,fixed=T),"leadership_change_cooperation",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("readiness to change", sub_group,fixed=T),"readiness_to_change",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("organizational culture", sub_group,fixed=T),"organizational_culture",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("communication structure abilities", sub_group,fixed=T),"comunication_structure_abilities",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("policies procedures", sub_group,fixed=T),"policies_procedures",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("roles responsibilities", sub_group,fixed=T),"roles_responsibilities",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("process kp", sub_group,fixed=T),"process_KPI",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("process flows bottlenecks", sub_group,fixed=T),"process_flow_bottlenecks",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("workflow optimization level", sub_group,fixed=T),"workflow_optimization_level",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("it infrastructure", sub_group,fixed=T),"it_infrastructure",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("system integration matrix", sub_group,fixed=T),"system_integration_matrix",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("cloud strategy", sub_group,fixed=T),"cloud_strategy",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("system security monitoring", sub_group,fixed=T),"system_security_monitoring",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("data governance", sub_group,fixed=T),"data_governance",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("data sources", sub_group,fixed=T),"data_sources",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("data integration aggregation", sub_group,fixed=T),"data_integration_aggregation",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("reporting visualization", sub_group,fixed=T),"reporting_vizualitation",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("process standardization automation", sub_group,fixed=T),"process_standardization_automation",sub_group))%>%
+  mutate(sub_group=ifelse(grepl("data science capability", sub_group,fixed=T),"data_science_capability",sub_group))%>%
+  mutate(group=ifelse(grepl("strategic management", group,fixed=T),"strategic management",group))%>%
+  mutate(group=ifelse(grepl("change management", group,fixed=T),"change management",group))%>%
+  mutate(group=ifelse(grepl("process management", group,fixed=T),"process management",group))%>%
+  mutate(group=ifelse(grepl("technology management", group,fixed=T),"technology management",group))%>%
+  mutate(group=ifelse(grepl("data science", group,fixed=T),"data science",group))
+head(data)
+
## # A tibble: 6 x 6
+##   qi    Status  group                sub_group                    question value
+##   <chr> <chr>   <chr>                <chr>                        <chr>    <chr>
+## 1 3     desired strategic management corporate_performance        q1       2    
+## 2 3     desired strategic management strategy_roadmap             q2       5    
+## 3 3     desired strategic management investments                  q3       5    
+## 4 3     desired strategic management treasury_tax_management      q4       2    
+## 5 3     desired strategic management budgeting_planning_forecast… q5       1    
+## 6 3     desired strategic management risk_management              q6       2
+
+
+

Viz 1-1

+
data%>%
+  mutate(value=as.integer(value))%>%
+  group_by(Status,group)%>%
+  summarise(value=round(mean(value, na.rm=T)))%>%
+  ggplot(aes(x=group, y=value, fill= Status, label=value))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Financial Gap Analysis",
+       subtitle = "Desire vs Current",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Current","Goal"), values= c("dodgerblue4","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Change \n Managment", "Data \n Science", "Process \n  Management",
+                            "Strategic \n Management", "Technology \n Management"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+

V 2

+
+

Desired

+

Strategic Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  rename(empty=qi)%>%
+  mutate(empty= case_when(
+                       empty=="1" ~ "Board",
+                       empty=="2" ~ "Management",
+                       empty=="3" ~ "Business Manager",
+                       empty=="4" ~ "Line Employee"
+                       ))%>%
+  filter(Status=="desired", group=="strategic management")%>%
+  group_by(sub_group,empty)%>%
+  summarise(value=round(mean(value, na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=empty))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Strategic Management",
+       subtitle = "Desired",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Board","Business Manager","Line Employee","Management"), values= c("cadetblue","dodgerblue4","deepskyblue","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Budget \n Planning \n Forecasting", "Corporate \n Performance", "Investments",
+                            "Law \n Regulation \n Compliance", "Risk \n Management", "Strategy \n Roadmap", "Treasury \n Tax \n Management"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+

Technology Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  rename(empty=qi)%>%
+  mutate(empty= case_when(
+                       empty=="1" ~ "Board",
+                       empty=="2" ~ "Management",
+                       empty=="3" ~ "Business Manager",
+                       empty=="4" ~ "Line Employee"
+                       ))%>%
+  filter(Status=="desired", group=="technology management")%>% #select(sub_group)%>%unique()%>%arrange(sub_group)
+  group_by(sub_group,empty)%>%
+  summarise(value=round(mean(value, na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=empty))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Technology Management",
+       subtitle = "Desired",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Board","Business Manager","Line Employee","Management"), values= c("cadetblue","dodgerblue4","deepskyblue","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Cloud \n Strategy", "IT \n Infrastructure", "System \n Integration \n Matrix",
+                            "System \n Security \n Monitoring"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+

Process Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  rename(empty=qi)%>%
+  mutate(empty= case_when(
+                       empty=="1" ~ "Board",
+                       empty=="2" ~ "Management",
+                       empty=="3" ~ "Business Manager",
+                       empty=="4" ~ "Line Employee"
+                       ))%>%
+  filter(Status=="desired", group=="process management")%>% #select(sub_group)%>%unique()%>%arrange(sub_group)
+  group_by(sub_group,empty)%>%
+  summarise(value=round(mean(value, na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=empty))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Process Management",
+       subtitle = "Desired",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Board","Business Manager","Line Employee","Management"), values= c("cadetblue","dodgerblue4","deepskyblue","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Policies \n Procedures", "Process \n Flow \n Bottlenecks", "Process \n KPIs",
+                            "Roles \n Responsibilities", "Workflow \n Optimization \n Level"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+

Change Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  rename(empty=qi)%>%
+  mutate(empty= case_when(
+                       empty=="1" ~ "Board",
+                       empty=="2" ~ "Management",
+                       empty=="3" ~ "Business Manager",
+                       empty=="4" ~ "Line Employee"
+                       ))%>%
+  filter(Status=="desired", group=="change management")%>% #select(sub_group)%>%unique()%>%arrange(sub_group)
+  group_by(sub_group,empty)%>%
+  summarise(value=round(mean(value, na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=empty))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Change Management",
+       subtitle = "Desired",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Board","Business Manager","Line Employee","Management"), values= c("cadetblue","dodgerblue4","deepskyblue","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Communication \n Structure \n Abilities", "Leadership \n Change \n Cooperation", "Organizational \n Culture","Readiness \n to \n Change"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+

Data Science

+
data%>%
+  mutate(value=as.integer(value))%>%
+  rename(empty=qi)%>%
+  mutate(empty= case_when(
+                       empty=="1" ~ "Board",
+                       empty=="2" ~ "Management",
+                       empty=="3" ~ "Business Manager",
+                       empty=="4" ~ "Line Employee"
+                       ))%>%
+  filter(Status=="desired", group=="data science")%>% #select(sub_group)%>%unique()%>%arrange(sub_group)
+  group_by(sub_group,empty)%>%
+  summarise(value=round(mean(value, na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=empty))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Data Science",
+       subtitle = "Desired",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Board","Business Manager","Line Employee","Management"), values= c("cadetblue","dodgerblue4","deepskyblue","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Data \n Governance", "Data \n Integration \n Aggregation", "Data \n Science \n Capability",
+                            "Data \n Sources", "Process \n Standardization \n Automation", "Reporting \n Visualization"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+

Current Status

+

Not requested currently

+
+
+
+

V3 Deep dive

+
+

Strategic Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  filter(group=="strategic management")%>%
+  group_by(Status,sub_group)%>%
+  summarise(value=round(mean(value,na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=Status))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Strategic Management",
+       subtitle = "Desire vs Current",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Current","Goal"), values= c("dodgerblue4","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Budget \n Planning \n Forecasting", "Corporate \n Performance", "Investments",
+                            "Law \n Regulation \n Compliance", "Risk \n Management", "Strategy \n Roadmap", "Treasury \n Tax \n Management"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+

Technology Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  filter(group=="technology management")%>%
+  group_by(Status,sub_group)%>%
+  summarise(value=round(mean(value,na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=Status))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Technology Management",
+       subtitle = "Desire vs Current",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Current","Goal"), values= c("dodgerblue4","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Cloud \n Strategy", "IT \n Infrastructure", "System \n Integration \n Matrix",
+                            "System \n Security \n Monitoring"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+

Process Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  filter(group=="process management")%>%
+  group_by(Status,sub_group)%>%
+  summarise(value=round(mean(value,na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=Status))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Process Management",
+       subtitle = "Desire vs Current",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Current","Goal"), values= c("dodgerblue4","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Policies \n Procedures", "Process \n Flow \n Bottlenecks", "Process \n KPIs",
+                            "Roles \n Responsibilities", "Workflow \n Optimization \n Level"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+

Change Management

+
data%>%
+  mutate(value=as.integer(value))%>%
+  filter(group=="change management")%>%
+  group_by(Status,sub_group)%>%
+  summarise(value=round(mean(value,na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=Status))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Change Management",
+       subtitle = "Desire vs Current",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Current","Goal"), values= c("dodgerblue4","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Communication \n Structure \n Abilities", "Leadership \n Change \n Cooperation", "Organizational \n Culture","Readiness \n to \n Change"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+

Data Science

+
data%>%
+  mutate(value=as.integer(value))%>%
+  filter(group=="data science")%>%
+  group_by(Status,sub_group)%>%
+  summarise(value=round(mean(value,na.rm = T)))%>%
+  ggplot(aes(x=sub_group,y=value,fill=Status))+geom_col(position = "dodge2")+
+  labs(fill = "",
+       y="",
+       x="",
+       title = "Data Science",
+       subtitle = "Desire vs Current",
+       caption = "Source: LaNubia Finance Transformation Survey"
+       )+
+  scale_fill_manual(name = "", labels = c("Current","Goal"), values= c("dodgerblue4","aquamarine4"))+
+  scale_y_continuous(name = "", breaks=c(1,2,3,4,5), labels=c("Oblivious","Explorer","Enlightened","Vanguard","Empowered"), limits = c(0,5))+
+  scale_x_discrete(labels=c("Data \n Governance", "Data \n Integration \n Aggregation", "Data \n Science \n Capability",
+                            "Data \n Sources", "Process \n Standardization \n Automation", "Reporting \n Visualization"))+
+  theme_linedraw() +
+  theme(legend.position = "bottom",
+        plot.title = element_text(color="black", size=14, face="bold"))+
+  coord_cartesian(clip = "off")+
+  annotation_custom(l, xmin = -0.5, xmax = 1, ymin=-1,ymax=-2.25)
+

+
+
+ + + + +
+ + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/limesurveyresult.Rproj b/limesurveyresult.Rproj new file mode 100644 index 0000000..8e3c2eb --- /dev/null +++ b/limesurveyresult.Rproj @@ -0,0 +1,13 @@ +Version: 1.0 + +RestoreWorkspace: Default +SaveWorkspace: Default +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX diff --git a/logo-option.html b/logo-option.html new file mode 100644 index 0000000..9cc92e9 --- /dev/null +++ b/logo-option.html @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/logo.png b/logo.png new file mode 100644 index 0000000..632c677 Binary files /dev/null and b/logo.png differ diff --git a/style.css b/style.css new file mode 100644 index 0000000..f555d92 --- /dev/null +++ b/style.css @@ -0,0 +1,39 @@ + +/*----------LOGO above TOC---------*/ + +#TOC::before { + content: ""; + display: block; + height: 200px; + margin: 20px 20px 40px 20px; + background-image: url("logo.png"); + background-size: contain; + background-position: center center; + background-repeat: no-repeat; +} + + + + + + +/*#header.fluid-row::before { +/* content: "LaNubia"; +/* height: 150px; +/* width: 150px; +/* float: right; +/* background-image: url("logo.png"); +/* background-size: contain; +/* background-position: center center; +/* background-repeat: no-repeat; +/* } */ + + +.upper-right-logo { + margin-top: 20px; + background-image: url("logo.png"); + height: 150px; + background-size: contain; + background-position: right; + background-repeat: no-repeat; +} \ No newline at end of file diff --git a/styletoclogo.css b/styletoclogo.css new file mode 100644 index 0000000..940100c --- /dev/null +++ b/styletoclogo.css @@ -0,0 +1,21 @@ +/*----------LOGO above TOC---------*/ + +#TOC::before { + content: ""; + display: block; + height: 200px; + margin: 20px 20px 40px 20px; + background-image: url("logo.png"); + background-size: contain; + background-position: center center; + background-repeat: no-repeat; +} + +/*------------Table of Contents (TOC)----------- */ + + +.tocify { + border: none; /*Removes border */ + border-radius: 0px; /* Gets rid of rounded corners on TOC */ + /*font-size: 16px;*/ +} \ No newline at end of file diff --git a/survey_55176_R_data_file.csv b/survey_55176_R_data_file.csv new file mode 100644 index 0000000..7531a6c --- /dev/null +++ b/survey_55176_R_data_file.csv @@ -0,0 +1,12 @@ +"Response ID","Date submitted","Last page","Start language","Seed","Date started","Date last action","Gender","Age","Educational Qualification","Educational Qualification [Other]","Primary Department","Primary Department [Other]","Are you a part of the management team?","How many direct reportees do you have?","How much time do you spend on average per day working with data in your current role?","Your primary/major involvement with data is in  [collecting/entering data]","Your primary/major involvement with data is in  [preparing visualizations]","Your primary/major involvement with data is in  [understanding what happened in the past or what is happening]","Your primary/major involvement with data is in  [predicting what may happen]","Your primary/major involvement with data is in  [ optimization (of process and process elements using result of analysis)]","I am a data science professional and/or participate in coding or related activities.","In my organization [we always use version control software (eg git) when developing software]","In my organization [we always use data provenance systems, which makes it possible to view old versions of databases and files]","In my organization [we always use unit tests when developing new software]","In my organization [I always test new software on a development environment first]","In my organization [I always have new software functionally tested before deployment]","In my organization [I use a training set and a test set when evaluating new models]","In my organization [I use input controls when setting up data pipelines]","In my organization [my colleagues provide their codes with clear comments]","In my organization [my colleagues subject their models to sensitivity analyses (e.g. Monte Carlo simulation)]","In my organization [my organization periodically scrutinizes algorithms and models]","One of the major contributions of data in your organization is to [increase efficiency of existing processes]","One of the major contributions of data in your organization is to [increase effectivity of existing processes]","One of the major contributions of data in your organization is to [increase effectivity of process transformation]","One of the major contributions of data in your organization is to [develop new products/services]","One of the major contributions of data in your organization is to [enhance customer satisfaction]","In my organization [digital infrastructure is excellent]","In my organization [all data is stored in a central warehouse]","In my organization [spreadsheets are the primary source of data storage]","In my organization [there is a single point of contact for all database related queries]","In my organization [there is a single point of contact for data analysis related queries]","In my organization [we have access to cloud computing platforms (Azure/AWS/GCP/Digital Ocean)]","In my organization [we have access to external data sources via APIs or scraping]","In my organization [most of the reports are generated automatically on a schedule]","Following applications are substantially used in our organization [spreadsheets (Excel/Libreoffice Cal/gnumeric etc.)]","Following applications are substantially used in our organization [proprietary mathematical/statistical softwares (Matlab/SPSS etc.)]","Following applications are substantially used in our organization [databases (SQL/PostgreSQL etc.)]","Following applications are substantially used in our organization [statistical programming languages (R/Python/Scala)]","Following applications are substantially used in our organization [ data visualization softwares (PowerBI/Tableau/Periscope etc.)]","In my organization [we cooperate with external parties in the area of data]","In my organization [the distance between data specialists and other staff is small]","In my organization [we learn and improve from mistakes made in entering/rework/analyzing data is used to learn and improve]","In my organization [experiments with new technologies is encouraged]","In my organization [we share data with other parties]","My organization uses [product/service sales data]","My organization uses [product/service usage data]","My organization uses [financial data]","My organization uses [customer data (orders/subscriptions etc.)]","My organization uses [prospective customer's data (From social media/survey etc.)]","My organization uses [employee data]","My organization uses [market related data (market potential/economic factors etc.)]","My organization uses [operations data]","My organization uses the following data for analysis [structured data (Numbers etc.)]","My organization uses the following data for analysis [unstructured data (Text)]","My organization uses the following data for analysis [unstructured data (Images)]","My organization uses the following data for analysis [unstructured data (Audio)]","My organization uses the following data for analysis [unstructured data (Video)]","In my organization [there are plenty of opportunities to develop data skills]","In my organization [the management is aware of the possibilities of data]","In my organization [new (data) technologies are introduced quickly and smoothly]","In my organization [the number of data specialists is more than sufficient]","In my organization [support with problems related to data are well arranged]","In my organization [my organization knows how to use data to make decisions]","I am confident that [data is relevant within my organization]","I am confident that [the data within my organization is accurate]","I am confident that [the data within my organization is up to date / recent]","I am confident that [the data within my organization is complete]","My organization [stores new data immediately in a central warehouse]","My organization [has a standard data structure; all colleagues work with data in the same way]","My organization [has fully integrated data sources and offers easy organization wide analytics]","My organization [has a lot of attention towards data management]","In my organization [we strive for rapid adoption of novelties in the field of data]","In my organization [my colleagues often bring new ideas and developments in the field of data to the table]","In my organization [the leadership is keen to capitalize on new developments in data immediately]","In my organization [promising developments regarding data are quickly addressed]","In my organization [we have the necessary resources and opportunities to quickly implement new developments]","In my organization [everyone uses the same software (Microsoft Office, Salesforce, Microsoft Dynamics, etc.)]","In my organization [there are clear guidelines regarding data security (passwords, secure file storage)]","In my organization [my colleagues strictly adhere to data security procedures]","In my organization [everyone is aware of the importance of data security]","In my organization [security incidents with regard to data are always reported immediately]","In my organization [everyone is fully aware of spyware threats]","In my organization [shadow communication (such as Gmail, Dropbox, WeTransfer) is not used ]","In my organization [my colleagues handle the classification of information well]","In my organization [the regulations regarding the classification of information are well known]","In my organization [data has a designated owner]","In my organization [we respond adequately to data ethics and privacy incidents]","In my organization [incidents concerning privacy (e.g. data leaks) are always reported immediately]","In my organization [my colleagues strictly adhere to legal procedures regarding data]","In my organization [awareness of data ethics and privacy is highly developed]","In my organization [we are aware of the law and regulations regarding data (e.g. the GDPR)]","I [usually manage to solve problems with new digital technologies myself]","I [would like to further develop my skills in data-related technologies and I am willing to take an extra step and take risks]","I [know how I can personally contribute to a more data-driven organization]","My Colleagues [are generally good with new data-related technologies]","My Colleagues [enjoy the application of new data-related developments]","I [have the resources to work on data-related projects in addition to my normal tasks]","I [participate in data-related events (meet-ups, conferences, seminars)]","I [am taking online courses to sharpen my data skills]","I [know how to find help online for solving data-related issues (e.g. on forums or discussion groups)]","I [and my colleagues are aware of the latest developments and trends in data]","What is your knowledge level of [ supervised learning]","What is your knowledge level of [unsupervised learning]","What is your knowledge level of [data visualization tools]","What is your knowledge level of [Structured Query Language (SQL or similar)]","What is your knowledge level of [Intelligent Information Retrieval (elastic search etc.)]","What is your knowledge level of [Application Programming Interface (API)]","What is your knowledge level of [web scraping]","What is your knowledge level of [version control (git)]","What is your knowledge level of [cloud computing (AWS/Digital Ocean/Azure/GCP)]","What is your knowledge level of [file sharing services (Dropbox/onedrive etc.)]","What is your knowledge level of [artificial intelligence (reinforcement learning)]","What is your knowledge level of [quality control of data science programming (Unit testing / cross validation etc.)]","What is your knowledge level of [search engine optimization (SEO)]","What is your knowledge level of [data warehouses (SAP Business warehouse / Amazon Redshift etc.)]","What is your knowledge level of [large scale experimentation (A/B Testing)]","In our organization [we have an explicit strategy with regard to data]","In our organization [the strategy with regard to data has been translated into concrete policy]","In our organization [the concrete measures are easy to implement]","In our organization [sufficient budget and time is available for the implementation of the strategy]","In our organization [the data science strategy is widely supported]","In our organization [the data strategy is convincing]","In our organization [the top (management) radiates the importance of data]","In our organization [the top (management) is able to implement the policy]","What is your perception about data maturity of your organization [Beginner - Has no experience with data science and needs tools to start collecting data]","What is your perception about data maturity of your organization [Collector - Collects data, but has trouble properly cleaning, storing, and preparing data for analysis]","What is your perception about data maturity of your organization [Descriptor - Can unlock the data in such a way that analyzes can be run, but still has little capacity / skills to run predictive analyses]","What is your perception about data maturity of your organization [Predictor - Can run predictive analytics, but needs to gain insight into the latest developments in data science]","What is your perception about data maturity of your organization [Expert - Is fully aware of all developments and possibilities in the field of data science and mainly needs the lab for short-term capacity filling]","I [immediately revise my position when new data is available]","I [always adhere to the applicable laws and regulations regarding data (e.g. the GDPR)]","I [am always willing to admit I'm wrong when presented with new data]","I [always use data as the primary driver for my decision making, regardless of my interlocutor]","In my organization [we have defined processes for all operational tasks]","In my organization [the processes are mostly automated]","In my organization [the automation almost eliminates the need of manual data collection / entry]" +"5","2022-02-11 16:44:06","24","en","1475405049","2022-02-11 16:40:48","2022-02-11 16:44:06","2","A31","E3","","D3","","2","9","H3","AG5","AG4","AG3","AG2","AG1","1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG4","AG4","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG4","AG4","AG4","","AG3","","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG4","AG3","AG1","AG5","AG4","AG5","AG4","AG4","AG3","AG3","5","5","4","5","5","4","4","4","4","3","3","2","2","2","1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG5","AG4","AG3" +"6","2022-02-11 16:48:57","24","en","1037585760","2022-02-11 16:44:14","2022-02-11 16:48:57","2","A41","E5","","D4","","1","8","H4","AG5","AG4","AG3","AG2","AG1","2","","","","","","","","","","","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","","AG4","","AG3","","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG4","AG4","AG4","","AG3","AG2","AG1","AG1","AG5","AG4","AG3","AG2","AG1","AG3","AG2","AG1","AG5","AG4","AG5","AG4","AG3","AG2","AG1","5","5","","4","4","4","4","4","4","3","3","3","2","2","1","AG5","AG4","AG4","AG3","AG2","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2" +"7","2022-02-11 16:51:21","24","en","361113570","2022-02-11 16:49:08","2022-02-11 16:51:21","2","A41","E3","","D7","","2","6","H4","AG3","AG3","AG1","AG2","AG1","2","","","","","","","","","","","AG5","AG4","AG3","AG2","AG2","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG4","AG3","AG3","AG2","AG2","AG4","AG3","AG3","AG2","AG2","AG5","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG5","AG4","AG3","AG3","AG2","AG5","AG4","AG4","AG3","AG3","AG2","AG5","AG4","AG3","AG3","AG5","AG4","AG3","AG3","AG5","AG4","AG4","AG3","AG3","AG5","AG4","AG4","AG4","AG3","AG3","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG4","AG3","AG5","AG4","AG3","AG3","AG3","5","5","4","5","5","4","3","4","4","3","3","2","2","2","1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG4","AG3","AG3","AG2","AG4","AG3","AG2" +"8","2022-02-11 16:57:11","24","en","48441730","2022-02-11 16:54:51","2022-02-11 16:57:11","2","A60","E2","","D6","","1","3","H3","AG5","AG4","AG2","AG2","AG1","2","","","","","","","","","","","AG4","AG3","AG2","AG1","AG1","AG5","AG4","AG4","AG3","AG2","AG2","AG1","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG3","AG2","AG2","AG1","AG1","AG5","AG4","AG3","AG2","AG1","AG4","AG3","AG3","AG2","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG4","AG4","AG3","AG3","AG2","AG2","AG2","AG1","AG4","AG3","AG2","AG2","AG1","AG3","AG2","AG1","AG4","AG3","AG4","AG3","AG3","AG2","AG1","5","4","4","3","4","4","4","4","3","3","3","2","2","2","1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG4","AG3","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG3","AG2","AG1" +"9","2022-02-11 17:00:00","24","en","70389794","2022-02-11 16:57:21","2022-02-11 17:00:00","2","A31","E5","","D7","","2","3","H3","AG4","AG3","AG2","AG2","AG1","1","AG4","AG3","AG2","AG2","AG1","AG4","AG4","AG3","AG2","AG2","AG4","AG3","AG2","AG2","AG1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG4","AG3","AG2","AG2","AG1","AG4","AG3","AG3","AG2","AG1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG2","AG1","AG5","AG4","AG3","AG2","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG3","AG3","AG2","AG2","AG1","AG4","AG5","AG4","AG3","AG4","AG4","AG3","AG3","AG3","AG2","AG5","AG4","AG3","AG2","AG2","AG4","AG3","AG2","AG4","AG3","AG5","AG4","AG4","AG3","AG2","5","4","4","3","4","4","3","3","4","4","3","3","2","2","1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG4","AG3","AG3","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2" +"10","2022-02-11 17:01:50","24","en","2079733467","2022-02-11 16:58:11","2022-02-11 17:01:50","1","A25","E2","","D5","","2","3","H3","AG2","AG2","AG2","AG2","AG2","2","","","","","","","","","","","AG1","AG2","AG3","AG4","AG5","AG1","AG2","AG1","AG2","AG3","AG4","AG4","AG5","AG5","AG4","AG3","AG2","AG1","AG4","AG2","AG1","AG3","AG5","AG1","AG1","AG2","AG2","AG3","AG3","AG4","AG4","AG1","AG1","AG5","AG5","AG3","AG2","AG2","AG4","AG4","AG5","AG5","AG2","AG4","AG3","AG5","AG5","AG5","AG2","AG2","AG1","AG1","AG3","AG2","AG4","AG1","AG2","AG2","AG3","AG4","AG4","AG5","AG4","AG4","AG3","AG3","AG2","AG3","AG4","AG4","AG1","AG2","AG3","AG3","AG2","AG2","AG1","AG2","AG3","AG4","3","3","3","","2","2","2","2","3","4","4","4","4","4","3","AG2","AG2","AG3","AG3","AG4","AG4","AG3","AG3","AG2","AG4","AG2","AG4","AG3","AG1","AG1","AG2","AG4","AG2","AG3","AG2" +"11","2022-02-11 17:40:03","24","en","1667932904","2022-02-11 17:37:40","2022-02-11 17:40:03","1","A51","E5","","D5","","1","8","H3","AG4","AG3","AG2","AG2","AG1","2","","","","","","","","","","","AG4","AG3","AG2","AG2","AG1","AG5","AG4","AG4","AG3","AG2","AG2","AG1","AG1","AG4","AG3","AG2","AG2","AG1","AG4","AG3","AG2","AG2","AG1","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG3","AG3","AG2","AG2","AG1","AG4","AG4","AG3","AG3","AG2","AG2","AG3","AG3","AG2","AG2","AG4","AG4","AG3","AG3","AG5","AG4","AG4","AG3","AG3","AG5","AG4","AG4","AG5","AG5","","AG4","AG4","AG3","AG3","AG5","AG4","AG3","AG3","AG2","AG4","AG3","AG3","AG5","AG4","AG5","AG4","AG4","AG3","AG3","5","5","4","5","4","4","3","4","4","3","3","2","2","1","1","AG5","AG5","AG4","AG4","AG3","AG2","AG1","AG1","AG4","AG3","AG2","AG2","AG1","AG4","AG3","AG2","AG1","AG4","AG3","AG2" +"12","2022-02-11 17:42:31","24","en","1757549755","2022-02-11 17:40:15","2022-02-11 17:42:31","2","A25","E5","","D8","","2","8","H4","AG4","AG3","AG2","AG1","AG1","2","","","","","","","","","","","AG5","AG4","AG3","AG2","AG2","AG5","AG5","AG4","AG4","AG3","AG3","AG2","AG2","AG1","AG2","AG4","AG5","AG5","AG5","AG3","AG4","AG3","AG3","AG5","AG3","AG4","AG3","AG3","AG4","AG4","AG2","AG4","AG3","AG2","AG3","AG2","AG5","AG5","AG4","AG3","AG2","AG2","AG4","AG5","AG4","AG4","AG5","AG4","AG3","AG4","AG5","AG5","AG4","AG3","AG3","AG5","AG4","AG3","AG4","AG4","AG3","AG4","AG3","AG3","AG2","AG5","AG4","AG3","AG2","AG2","AG5","AG3","AG3","AG4","AG3","AG5","AG4","AG4","AG3","AG2","4","3","5","3","3","4","2","3","4","3","3","3","4","2","4","AG4","AG5","AG4","AG3","AG4","AG3","AG4","AG5","AG5","AG5","AG4","AG5","AG4","AG5","AG4","AG5","AG4","AG5","AG5","AG4" +"13","2022-02-11 17:44:58","24","en","923048017","2022-02-11 17:42:41","2022-02-11 17:44:58","2","A18","E5","","D8","","1","9","H3","AG4","AG3","AG2","AG2","AG1","2","","","","","","","","","","","AG5","AG4","AG3","AG3","AG2","AG5","","AG4","AG4","AG3","AG2","AG2","AG1","AG5","AG4","AG3","AG3","AG2","AG5","AG4","AG4","AG4","AG5","AG5","AG4","","AG3","AG5","AG4","AG4","AG4","AG5","AG5","AG4","AG3","AG4","AG5","AG5","AG4","AG5","AG4","AG3","AG5","AG4","AG4","AG3","AG5","AG4","AG5","AG4","AG5","AG5","AG5","AG4","AG3","AG5","AG4","AG5","AG4","AG5","AG4","AG3","AG4","AG4","AG3","AG5","AG5","AG4","AG4","AG3","AG5","AG4","AG3","AG5","AG4","AG5","AG4","AG5","AG4","AG4","5","3","4","4","5","4","5","4","4","4","3","4","4","3","4","AG4","AG5","AG4","AG3","AG4","AG4","AG3","AG4","AG5","AG4","AG3","AG4","AG5","AG5","AG4","AG5","AG4","AG5","AG4","AG3" +"14","2022-02-11 17:47:35","24","en","1753940870","2022-02-11 17:45:08","2022-02-11 17:47:35","2","A25","E5","","D2","","2","8","H3","AG5","AG4","AG3","AG2","AG3","2","","","","","","","","","","","AG4","AG3","AG4","AG4","AG5","AG5","AG5","AG4","AG5","AG4","AG4","AG4","AG3","AG5","AG4","AG3","AG4","AG4","AG5","AG5","AG4","AG4","AG3","AG5","AG5","AG4","AG4","AG5","AG4","AG4","AG3","AG5","AG4","AG5","AG4","AG3","AG5","AG4","AG5","AG4","AG5","AG4","AG5","AG4","AG4","AG3","AG5","AG4","AG4","AG3","AG5","AG4","AG4","AG3","AG3","AG4","AG5","AG4","AG5","AG3","AG5","AG4","AG4","AG3","AG3","AG5","AG5","AG4","AG4","AG3","AG5","AG4","AG3","AG4","AG3","AG5","AG3","AG4","AG4","AG3","5","4","","4","4","5","4","5","4","3","4","3","4","3","4","AG5","AG5","AG4","AG5","AG4","AG3","AG3","AG5","AG5","AG4","AG4","AG3","AG4","AG5","AG4","AG3","AG4","AG5","AG4","AG3" + diff --git a/survey_55176_R_syntax_file.R b/survey_55176_R_syntax_file.R new file mode 100644 index 0000000..9a26768 --- /dev/null +++ b/survey_55176_R_syntax_file.R @@ -0,0 +1,715 @@ +data <- read.csv("survey_55176_R_data_file.csv", quote = "'\"", na.strings=c("", "\"\""), stringsAsFactors=FALSE, fileEncoding="UTF-8-BOM") + + +# LimeSurvey Field type: F +data[, 1] <- as.numeric(data[, 1]) +attributes(data)$variable.labels[1] <- "id" +names(data)[1] <- "id" +# LimeSurvey Field type: DATETIME23.2 +data[, 2] <- as.character(data[, 2]) +attributes(data)$variable.labels[2] <- "submitdate" +names(data)[2] <- "submitdate" +# LimeSurvey Field type: F +data[, 3] <- as.numeric(data[, 3]) +attributes(data)$variable.labels[3] <- "lastpage" +names(data)[3] <- "lastpage" +# LimeSurvey Field type: A +data[, 4] <- as.character(data[, 4]) +attributes(data)$variable.labels[4] <- "startlanguage" +names(data)[4] <- "startlanguage" +# LimeSurvey Field type: A +data[, 5] <- as.character(data[, 5]) +attributes(data)$variable.labels[5] <- "Seed" +names(data)[5] <- "q_" +# LimeSurvey Field type: DATETIME23.2 +data[, 6] <- as.character(data[, 6]) +attributes(data)$variable.labels[6] <- "startdate" +names(data)[6] <- "startdate" +# LimeSurvey Field type: DATETIME23.2 +data[, 7] <- as.character(data[, 7]) +attributes(data)$variable.labels[7] <- "datestamp" +names(data)[7] <- "datestamp" +# LimeSurvey Field type: F +data[, 8] <- as.numeric(data[, 8]) +attributes(data)$variable.labels[8] <- "Gender" +data[, 8] <- factor(data[, 8], levels=c(1,2),labels=c("Female", "Male")) +names(data)[8] <- "SD01" +# LimeSurvey Field type: A +data[, 9] <- as.character(data[, 9]) +attributes(data)$variable.labels[9] <- "Age" +data[, 9] <- factor(data[, 9], levels=c("A18","A25","A31","A41","A51","A60"),labels=c("18-24", "25-30", "31-40", "41-50", "51-60", "60 +")) +names(data)[9] <- "SD02" +# LimeSurvey Field type: A +data[, 10] <- as.character(data[, 10]) +attributes(data)$variable.labels[10] <- "Educational Qualification" +data[, 10] <- factor(data[, 10], levels=c("E1","E2","E3","E4","E5"),labels=c("High School", "Vocational", "Undergraduate", "Graduate", "Doctorate")) +names(data)[10] <- "SD03" +# LimeSurvey Field type: A +data[, 11] <- as.character(data[, 11]) +attributes(data)$variable.labels[11] <- "[Other] Educational Qualification" +names(data)[11] <- "SD03_other" +# LimeSurvey Field type: A +data[, 12] <- as.character(data[, 12]) +attributes(data)$variable.labels[12] <- "Primary Department" +data[, 12] <- factor(data[, 12], levels=c("D1","D2","D3","D4","D5","D6","D7","D8"),labels=c("Data", "IT", "Marketing", "Sales", "After-Sales", "Operations", "Finance", "HR")) +names(data)[12] <- "SD04" +# LimeSurvey Field type: A +data[, 13] <- as.character(data[, 13]) +attributes(data)$variable.labels[13] <- "[Other] Primary Department" +names(data)[13] <- "SD04_other" +# LimeSurvey Field type: F +data[, 14] <- as.numeric(data[, 14]) +attributes(data)$variable.labels[14] <- "Are you a part of the management team?" +data[, 14] <- factor(data[, 14], levels=c(1,2),labels=c("Yes", "No")) +names(data)[14] <- "SD05" +# LimeSurvey Field type: F +data[, 15] <- as.numeric(data[, 15]) +attributes(data)$variable.labels[15] <- "How many direct reportees do you have?" +names(data)[15] <- "C05" +# LimeSurvey Field type: A +data[, 16] <- as.character(data[, 16]) +attributes(data)$variable.labels[16] <- "How much time do you spend on average per day working with data in your current role?" +data[, 16] <- factor(data[, 16], levels=c("H1","H2","H3","H4"),labels=c("None", "About 1 hour", "About 2 hours", "Most of the time")) +names(data)[16] <- "I01" +# LimeSurvey Field type: A +data[, 17] <- as.character(data[, 17]) +attributes(data)$variable.labels[17] <- "[collecting/entering data] Your primary/major involvement with data is in " +data[, 17] <- factor(data[, 17], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[17] <- "I02_SQ001" +# LimeSurvey Field type: A +data[, 18] <- as.character(data[, 18]) +attributes(data)$variable.labels[18] <- "[preparing visualizations] Your primary/major involvement with data is in " +data[, 18] <- factor(data[, 18], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[18] <- "I02_SQ002" +# LimeSurvey Field type: A +data[, 19] <- as.character(data[, 19]) +attributes(data)$variable.labels[19] <- "[understanding what happened in the past or what is happening] Your primary/major involvement with data is in " +data[, 19] <- factor(data[, 19], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[19] <- "I02_SQ003" +# LimeSurvey Field type: A +data[, 20] <- as.character(data[, 20]) +attributes(data)$variable.labels[20] <- "[predicting what may happen] Your primary/major involvement with data is in " +data[, 20] <- factor(data[, 20], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[20] <- "I02_SQ004" +# LimeSurvey Field type: A +data[, 21] <- as.character(data[, 21]) +attributes(data)$variable.labels[21] <- "[ optimization (of process and process elements using result of analysis)] Your primary/major involvement with data is in " +data[, 21] <- factor(data[, 21], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[21] <- "I02_SQ005" +# LimeSurvey Field type: F +data[, 22] <- as.numeric(data[, 22]) +attributes(data)$variable.labels[22] <- "I am a data science professional and/or participate in coding or related activities." +data[, 22] <- factor(data[, 22], levels=c(1,2),labels=c("Yes", "No")) +names(data)[22] <- "DS001" +# LimeSurvey Field type: A +data[, 23] <- as.character(data[, 23]) +attributes(data)$variable.labels[23] <- "[we always use version control software (eg git) when developing software] In my organization" +data[, 23] <- factor(data[, 23], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[23] <- "TE01_SQ001" +# LimeSurvey Field type: A +data[, 24] <- as.character(data[, 24]) +attributes(data)$variable.labels[24] <- "[we always use data provenance systems, which makes it possible to view old versions of databases and files] In my organization" +data[, 24] <- factor(data[, 24], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[24] <- "TE01_SQ002" +# LimeSurvey Field type: A +data[, 25] <- as.character(data[, 25]) +attributes(data)$variable.labels[25] <- "[we always use unit tests when developing new software] In my organization" +data[, 25] <- factor(data[, 25], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[25] <- "TE01_SQ003" +# LimeSurvey Field type: A +data[, 26] <- as.character(data[, 26]) +attributes(data)$variable.labels[26] <- "[I always test new software on a development environment first] In my organization" +data[, 26] <- factor(data[, 26], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[26] <- "TE01_SQ004" +# LimeSurvey Field type: A +data[, 27] <- as.character(data[, 27]) +attributes(data)$variable.labels[27] <- "[I always have new software functionally tested before deployment] In my organization" +data[, 27] <- factor(data[, 27], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[27] <- "TE01_SQ005" +# LimeSurvey Field type: A +data[, 28] <- as.character(data[, 28]) +attributes(data)$variable.labels[28] <- "[I use a training set and a test set when evaluating new models] In my organization" +data[, 28] <- factor(data[, 28], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[28] <- "QA01_SQ001" +# LimeSurvey Field type: A +data[, 29] <- as.character(data[, 29]) +attributes(data)$variable.labels[29] <- "[I use input controls when setting up data pipelines] In my organization" +data[, 29] <- factor(data[, 29], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[29] <- "QA01_SQ002" +# LimeSurvey Field type: A +data[, 30] <- as.character(data[, 30]) +attributes(data)$variable.labels[30] <- "[my colleagues provide their codes with clear comments] In my organization" +data[, 30] <- factor(data[, 30], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[30] <- "QA01_SQ003" +# LimeSurvey Field type: A +data[, 31] <- as.character(data[, 31]) +attributes(data)$variable.labels[31] <- "[my colleagues subject their models to sensitivity analyses (e.g. Monte Carlo simulation)] In my organization" +data[, 31] <- factor(data[, 31], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[31] <- "QA01_SQ004" +# LimeSurvey Field type: A +data[, 32] <- as.character(data[, 32]) +attributes(data)$variable.labels[32] <- "[my organization periodically scrutinizes algorithms and models] In my organization" +data[, 32] <- factor(data[, 32], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[32] <- "QA01_SQ005" +# LimeSurvey Field type: A +data[, 33] <- as.character(data[, 33]) +attributes(data)$variable.labels[33] <- "[increase efficiency of existing processes] One of the major contributions of data in your organization is to" +data[, 33] <- factor(data[, 33], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[33] <- "OB01_SQ001" +# LimeSurvey Field type: A +data[, 34] <- as.character(data[, 34]) +attributes(data)$variable.labels[34] <- "[increase effectivity of existing processes] One of the major contributions of data in your organization is to" +data[, 34] <- factor(data[, 34], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[34] <- "OB01_SQ002" +# LimeSurvey Field type: A +data[, 35] <- as.character(data[, 35]) +attributes(data)$variable.labels[35] <- "[increase effectivity of process transformation] One of the major contributions of data in your organization is to" +data[, 35] <- factor(data[, 35], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[35] <- "OB01_SQ003" +# LimeSurvey Field type: A +data[, 36] <- as.character(data[, 36]) +attributes(data)$variable.labels[36] <- "[develop new products/services] One of the major contributions of data in your organization is to" +data[, 36] <- factor(data[, 36], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[36] <- "OB01_SQ004" +# LimeSurvey Field type: A +data[, 37] <- as.character(data[, 37]) +attributes(data)$variable.labels[37] <- "[enhance customer satisfaction] One of the major contributions of data in your organization is to" +data[, 37] <- factor(data[, 37], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[37] <- "OB01_SQ005" +# LimeSurvey Field type: A +data[, 38] <- as.character(data[, 38]) +attributes(data)$variable.labels[38] <- "[digital infrastructure is excellent] In my organization" +data[, 38] <- factor(data[, 38], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[38] <- "IN01_SQ001" +# LimeSurvey Field type: A +data[, 39] <- as.character(data[, 39]) +attributes(data)$variable.labels[39] <- "[all data is stored in a central warehouse] In my organization" +data[, 39] <- factor(data[, 39], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[39] <- "IN01_SQ002" +# LimeSurvey Field type: A +data[, 40] <- as.character(data[, 40]) +attributes(data)$variable.labels[40] <- "[spreadsheets are the primary source of data storage] In my organization" +data[, 40] <- factor(data[, 40], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[40] <- "IN01_SQ003" +# LimeSurvey Field type: A +data[, 41] <- as.character(data[, 41]) +attributes(data)$variable.labels[41] <- "[there is a single point of contact for all database related queries] In my organization" +data[, 41] <- factor(data[, 41], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[41] <- "IN01_SQ004" +# LimeSurvey Field type: A +data[, 42] <- as.character(data[, 42]) +attributes(data)$variable.labels[42] <- "[there is a single point of contact for data analysis related queries] In my organization" +data[, 42] <- factor(data[, 42], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[42] <- "IN01_SQ005" +# LimeSurvey Field type: A +data[, 43] <- as.character(data[, 43]) +attributes(data)$variable.labels[43] <- "[we have access to cloud computing platforms (Azure/AWS/GCP/Digital Ocean)] In my organization" +data[, 43] <- factor(data[, 43], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[43] <- "IN01_SQ006" +# LimeSurvey Field type: A +data[, 44] <- as.character(data[, 44]) +attributes(data)$variable.labels[44] <- "[we have access to external data sources via APIs or scraping] In my organization" +data[, 44] <- factor(data[, 44], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[44] <- "IN01_SQ007" +# LimeSurvey Field type: A +data[, 45] <- as.character(data[, 45]) +attributes(data)$variable.labels[45] <- "[most of the reports are generated automatically on a schedule] In my organization" +data[, 45] <- factor(data[, 45], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[45] <- "IN01_SQ008" +# LimeSurvey Field type: A +data[, 46] <- as.character(data[, 46]) +attributes(data)$variable.labels[46] <- "[spreadsheets (Excel/Libreoffice Cal/gnumeric etc.)] Following applications are substantially used in our organization" +data[, 46] <- factor(data[, 46], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[46] <- "TO01_SQ001" +# LimeSurvey Field type: A +data[, 47] <- as.character(data[, 47]) +attributes(data)$variable.labels[47] <- "[proprietary mathematical/statistical softwares (Matlab/SPSS etc.)] Following applications are substantially used in our organization" +data[, 47] <- factor(data[, 47], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[47] <- "TO01_SQ002" +# LimeSurvey Field type: A +data[, 48] <- as.character(data[, 48]) +attributes(data)$variable.labels[48] <- "[databases (SQL/PostgreSQL etc.)] Following applications are substantially used in our organization" +data[, 48] <- factor(data[, 48], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[48] <- "TO01_SQ003" +# LimeSurvey Field type: A +data[, 49] <- as.character(data[, 49]) +attributes(data)$variable.labels[49] <- "[statistical programming languages (R/Python/Scala)] Following applications are substantially used in our organization" +data[, 49] <- factor(data[, 49], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[49] <- "TO01_SQ004" +# LimeSurvey Field type: A +data[, 50] <- as.character(data[, 50]) +attributes(data)$variable.labels[50] <- "[ data visualization softwares (PowerBI/Tableau/Periscope etc.)] Following applications are substantially used in our organization" +data[, 50] <- factor(data[, 50], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[50] <- "TO01_SQ005" +# LimeSurvey Field type: A +data[, 51] <- as.character(data[, 51]) +attributes(data)$variable.labels[51] <- "[we cooperate with external parties in the area of data] In my organization" +data[, 51] <- factor(data[, 51], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[51] <- "OP01_SQ001" +# LimeSurvey Field type: A +data[, 52] <- as.character(data[, 52]) +attributes(data)$variable.labels[52] <- "[the distance between data specialists and other staff is small] In my organization" +data[, 52] <- factor(data[, 52], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[52] <- "OP01_SQ002" +# LimeSurvey Field type: A +data[, 53] <- as.character(data[, 53]) +attributes(data)$variable.labels[53] <- "[we learn and improve from mistakes made in entering/rework/analyzing data is used to learn and improve] In my organization" +data[, 53] <- factor(data[, 53], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[53] <- "OP01_SQ003" +# LimeSurvey Field type: A +data[, 54] <- as.character(data[, 54]) +attributes(data)$variable.labels[54] <- "[experiments with new technologies is encouraged] In my organization" +data[, 54] <- factor(data[, 54], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[54] <- "OP01_SQ004" +# LimeSurvey Field type: A +data[, 55] <- as.character(data[, 55]) +attributes(data)$variable.labels[55] <- "[we share data with other parties] In my organization" +data[, 55] <- factor(data[, 55], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[55] <- "OP01_SQ005" +# LimeSurvey Field type: A +data[, 56] <- as.character(data[, 56]) +attributes(data)$variable.labels[56] <- "[product/service sales data] My organization uses" +data[, 56] <- factor(data[, 56], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[56] <- "DS01_SQ001" +# LimeSurvey Field type: A +data[, 57] <- as.character(data[, 57]) +attributes(data)$variable.labels[57] <- "[product/service usage data] My organization uses" +data[, 57] <- factor(data[, 57], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[57] <- "DS01_SQ002" +# LimeSurvey Field type: A +data[, 58] <- as.character(data[, 58]) +attributes(data)$variable.labels[58] <- "[financial data] My organization uses" +data[, 58] <- factor(data[, 58], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[58] <- "DS01_SQ003" +# LimeSurvey Field type: A +data[, 59] <- as.character(data[, 59]) +attributes(data)$variable.labels[59] <- "[customer data (orders/subscriptions etc.)] My organization uses" +data[, 59] <- factor(data[, 59], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[59] <- "DS01_SQ004" +# LimeSurvey Field type: A +data[, 60] <- as.character(data[, 60]) +attributes(data)$variable.labels[60] <- "[prospective customer\'s data (From social media/survey etc.)] My organization uses" +data[, 60] <- factor(data[, 60], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[60] <- "DS01_SQ005" +# LimeSurvey Field type: A +data[, 61] <- as.character(data[, 61]) +attributes(data)$variable.labels[61] <- "[employee data] My organization uses" +data[, 61] <- factor(data[, 61], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[61] <- "DS01_SQ006" +# LimeSurvey Field type: A +data[, 62] <- as.character(data[, 62]) +attributes(data)$variable.labels[62] <- "[market related data (market potential/economic factors etc.)] My organization uses" +data[, 62] <- factor(data[, 62], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[62] <- "DS01_SQ007" +# LimeSurvey Field type: A +data[, 63] <- as.character(data[, 63]) +attributes(data)$variable.labels[63] <- "[operations data] My organization uses" +data[, 63] <- factor(data[, 63], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[63] <- "DS01_SQ008" +# LimeSurvey Field type: A +data[, 64] <- as.character(data[, 64]) +attributes(data)$variable.labels[64] <- "[structured data (Numbers etc.)] My organization uses the following data for analysis" +data[, 64] <- factor(data[, 64], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[64] <- "DT01_SQ001" +# LimeSurvey Field type: A +data[, 65] <- as.character(data[, 65]) +attributes(data)$variable.labels[65] <- "[unstructured data (Text)] My organization uses the following data for analysis" +data[, 65] <- factor(data[, 65], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[65] <- "DT01_SQ002" +# LimeSurvey Field type: A +data[, 66] <- as.character(data[, 66]) +attributes(data)$variable.labels[66] <- "[unstructured data (Images)] My organization uses the following data for analysis" +data[, 66] <- factor(data[, 66], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[66] <- "DT01_SQ003" +# LimeSurvey Field type: A +data[, 67] <- as.character(data[, 67]) +attributes(data)$variable.labels[67] <- "[unstructured data (Audio)] My organization uses the following data for analysis" +data[, 67] <- factor(data[, 67], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[67] <- "DT01_SQ004" +# LimeSurvey Field type: A +data[, 68] <- as.character(data[, 68]) +attributes(data)$variable.labels[68] <- "[unstructured data (Video)] My organization uses the following data for analysis" +data[, 68] <- factor(data[, 68], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[68] <- "DT01_SQ005" +# LimeSurvey Field type: A +data[, 69] <- as.character(data[, 69]) +attributes(data)$variable.labels[69] <- "[there are plenty of opportunities to develop data skills] In my organization" +data[, 69] <- factor(data[, 69], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[69] <- "COMPE01_SQ001" +# LimeSurvey Field type: A +data[, 70] <- as.character(data[, 70]) +attributes(data)$variable.labels[70] <- "[the management is aware of the possibilities of data] In my organization" +data[, 70] <- factor(data[, 70], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[70] <- "COMPE01_SQ002" +# LimeSurvey Field type: A +data[, 71] <- as.character(data[, 71]) +attributes(data)$variable.labels[71] <- "[new (data) technologies are introduced quickly and smoothly] In my organization" +data[, 71] <- factor(data[, 71], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[71] <- "COMPE01_SQ003" +# LimeSurvey Field type: A +data[, 72] <- as.character(data[, 72]) +attributes(data)$variable.labels[72] <- "[the number of data specialists is more than sufficient] In my organization" +data[, 72] <- factor(data[, 72], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[72] <- "COMPE01_SQ004" +# LimeSurvey Field type: A +data[, 73] <- as.character(data[, 73]) +attributes(data)$variable.labels[73] <- "[support with problems related to data are well arranged] In my organization" +data[, 73] <- factor(data[, 73], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[73] <- "COMPE01_SQ005" +# LimeSurvey Field type: A +data[, 74] <- as.character(data[, 74]) +attributes(data)$variable.labels[74] <- "[my organization knows how to use data to make decisions] In my organization" +data[, 74] <- factor(data[, 74], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[74] <- "COMPE01_SQ006" +# LimeSurvey Field type: A +data[, 75] <- as.character(data[, 75]) +attributes(data)$variable.labels[75] <- "[data is relevant within my organization] I am confident that" +data[, 75] <- factor(data[, 75], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[75] <- "DQ01_SQ001" +# LimeSurvey Field type: A +data[, 76] <- as.character(data[, 76]) +attributes(data)$variable.labels[76] <- "[the data within my organization is accurate] I am confident that" +data[, 76] <- factor(data[, 76], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[76] <- "DQ01_SQ002" +# LimeSurvey Field type: A +data[, 77] <- as.character(data[, 77]) +attributes(data)$variable.labels[77] <- "[the data within my organization is up to date / recent] I am confident that" +data[, 77] <- factor(data[, 77], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[77] <- "DQ01_SQ003" +# LimeSurvey Field type: A +data[, 78] <- as.character(data[, 78]) +attributes(data)$variable.labels[78] <- "[the data within my organization is complete] I am confident that" +data[, 78] <- factor(data[, 78], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[78] <- "DQ01_SQ004" +# LimeSurvey Field type: A +data[, 79] <- as.character(data[, 79]) +attributes(data)$variable.labels[79] <- "[stores new data immediately in a central warehouse] My organization" +data[, 79] <- factor(data[, 79], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[79] <- "DQ02_SQ001" +# LimeSurvey Field type: A +data[, 80] <- as.character(data[, 80]) +attributes(data)$variable.labels[80] <- "[has a standard data structure; all colleagues work with data in the same way] My organization" +data[, 80] <- factor(data[, 80], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[80] <- "DQ02_SQ002" +# LimeSurvey Field type: A +data[, 81] <- as.character(data[, 81]) +attributes(data)$variable.labels[81] <- "[has fully integrated data sources and offers easy organization wide analytics] My organization" +data[, 81] <- factor(data[, 81], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[81] <- "DQ02_SQ003" +# LimeSurvey Field type: A +data[, 82] <- as.character(data[, 82]) +attributes(data)$variable.labels[82] <- "[has a lot of attention towards data management] My organization" +data[, 82] <- factor(data[, 82], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[82] <- "DQ02_SQ004" +# LimeSurvey Field type: A +data[, 83] <- as.character(data[, 83]) +attributes(data)$variable.labels[83] <- "[we strive for rapid adoption of novelties in the field of data] In my organization" +data[, 83] <- factor(data[, 83], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[83] <- "INN01_SQ001" +# LimeSurvey Field type: A +data[, 84] <- as.character(data[, 84]) +attributes(data)$variable.labels[84] <- "[my colleagues often bring new ideas and developments in the field of data to the table] In my organization" +data[, 84] <- factor(data[, 84], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[84] <- "INN01_SQ002" +# LimeSurvey Field type: A +data[, 85] <- as.character(data[, 85]) +attributes(data)$variable.labels[85] <- "[the leadership is keen to capitalize on new developments in data immediately] In my organization" +data[, 85] <- factor(data[, 85], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[85] <- "INN01_SQ003" +# LimeSurvey Field type: A +data[, 86] <- as.character(data[, 86]) +attributes(data)$variable.labels[86] <- "[promising developments regarding data are quickly addressed] In my organization" +data[, 86] <- factor(data[, 86], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[86] <- "INN01_SQ004" +# LimeSurvey Field type: A +data[, 87] <- as.character(data[, 87]) +attributes(data)$variable.labels[87] <- "[we have the necessary resources and opportunities to quickly implement new developments] In my organization" +data[, 87] <- factor(data[, 87], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[87] <- "INN01_SQ005" +# LimeSurvey Field type: A +data[, 88] <- as.character(data[, 88]) +attributes(data)$variable.labels[88] <- "[everyone uses the same software (Microsoft Office, Salesforce, Microsoft Dynamics, etc.)] In my organization" +data[, 88] <- factor(data[, 88], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[88] <- "SA01_SQ001" +# LimeSurvey Field type: A +data[, 89] <- as.character(data[, 89]) +attributes(data)$variable.labels[89] <- "[there are clear guidelines regarding data security (passwords, secure file storage)] In my organization" +data[, 89] <- factor(data[, 89], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[89] <- "SA01_SQ002" +# LimeSurvey Field type: A +data[, 90] <- as.character(data[, 90]) +attributes(data)$variable.labels[90] <- "[my colleagues strictly adhere to data security procedures] In my organization" +data[, 90] <- factor(data[, 90], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[90] <- "SA01_SQ003" +# LimeSurvey Field type: A +data[, 91] <- as.character(data[, 91]) +attributes(data)$variable.labels[91] <- "[everyone is aware of the importance of data security] In my organization" +data[, 91] <- factor(data[, 91], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[91] <- "SA01_SQ004" +# LimeSurvey Field type: A +data[, 92] <- as.character(data[, 92]) +attributes(data)$variable.labels[92] <- "[security incidents with regard to data are always reported immediately] In my organization" +data[, 92] <- factor(data[, 92], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[92] <- "SA01_SQ005" +# LimeSurvey Field type: A +data[, 93] <- as.character(data[, 93]) +attributes(data)$variable.labels[93] <- "[everyone is fully aware of spyware threats] In my organization" +data[, 93] <- factor(data[, 93], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[93] <- "SA01_SQ006" +# LimeSurvey Field type: A +data[, 94] <- as.character(data[, 94]) +attributes(data)$variable.labels[94] <- "[shadow communication (such as Gmail, Dropbox, WeTransfer) is not used ] In my organization" +data[, 94] <- factor(data[, 94], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[94] <- "SA01_SQ007" +# LimeSurvey Field type: A +data[, 95] <- as.character(data[, 95]) +attributes(data)$variable.labels[95] <- "[my colleagues handle the classification of information well] In my organization" +data[, 95] <- factor(data[, 95], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[95] <- "SA01_SQ008" +# LimeSurvey Field type: A +data[, 96] <- as.character(data[, 96]) +attributes(data)$variable.labels[96] <- "[the regulations regarding the classification of information are well known] In my organization" +data[, 96] <- factor(data[, 96], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[96] <- "SA01_SQ009" +# LimeSurvey Field type: A +data[, 97] <- as.character(data[, 97]) +attributes(data)$variable.labels[97] <- "[data has a designated owner] In my organization" +data[, 97] <- factor(data[, 97], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[97] <- "SA01_SQ010" +# LimeSurvey Field type: A +data[, 98] <- as.character(data[, 98]) +attributes(data)$variable.labels[98] <- "[we respond adequately to data ethics and privacy incidents] In my organization" +data[, 98] <- factor(data[, 98], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[98] <- "PE01_SQ001" +# LimeSurvey Field type: A +data[, 99] <- as.character(data[, 99]) +attributes(data)$variable.labels[99] <- "[incidents concerning privacy (e.g. data leaks) are always reported immediately] In my organization" +data[, 99] <- factor(data[, 99], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[99] <- "PE01_SQ002" +# LimeSurvey Field type: A +data[, 100] <- as.character(data[, 100]) +attributes(data)$variable.labels[100] <- "[my colleagues strictly adhere to legal procedures regarding data] In my organization" +data[, 100] <- factor(data[, 100], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[100] <- "PE01_SQ003" +# LimeSurvey Field type: A +data[, 101] <- as.character(data[, 101]) +attributes(data)$variable.labels[101] <- "[awareness of data ethics and privacy is highly developed] In my organization" +data[, 101] <- factor(data[, 101], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[101] <- "PE01_SQ004" +# LimeSurvey Field type: A +data[, 102] <- as.character(data[, 102]) +attributes(data)$variable.labels[102] <- "[we are aware of the law and regulations regarding data (e.g. the GDPR)] In my organization" +data[, 102] <- factor(data[, 102], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[102] <- "PE01_SQ005" +# LimeSurvey Field type: A +data[, 103] <- as.character(data[, 103]) +attributes(data)$variable.labels[103] <- "[usually manage to solve problems with new digital technologies myself] I" +data[, 103] <- factor(data[, 103], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[103] <- "SR01_SQ001" +# LimeSurvey Field type: A +data[, 104] <- as.character(data[, 104]) +attributes(data)$variable.labels[104] <- "[would like to further develop my skills in data-related technologies and I am willing to take an extra step and take risks] I" +data[, 104] <- factor(data[, 104], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[104] <- "SR01_SQ002" +# LimeSurvey Field type: A +data[, 105] <- as.character(data[, 105]) +attributes(data)$variable.labels[105] <- "[know how I can personally contribute to a more data-driven organization] I" +data[, 105] <- factor(data[, 105], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[105] <- "SR01_SQ003" +# LimeSurvey Field type: A +data[, 106] <- as.character(data[, 106]) +attributes(data)$variable.labels[106] <- "[are generally good with new data-related technologies] My Colleagues" +data[, 106] <- factor(data[, 106], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[106] <- "SR02_SQ001" +# LimeSurvey Field type: A +data[, 107] <- as.character(data[, 107]) +attributes(data)$variable.labels[107] <- "[enjoy the application of new data-related developments] My Colleagues" +data[, 107] <- factor(data[, 107], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[107] <- "SR02_SQ002" +# LimeSurvey Field type: A +data[, 108] <- as.character(data[, 108]) +attributes(data)$variable.labels[108] <- "[have the resources to work on data-related projects in addition to my normal tasks] I" +data[, 108] <- factor(data[, 108], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[108] <- "CU01_SQ001" +# LimeSurvey Field type: A +data[, 109] <- as.character(data[, 109]) +attributes(data)$variable.labels[109] <- "[participate in data-related events (meet-ups, conferences, seminars)] I" +data[, 109] <- factor(data[, 109], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[109] <- "CU01_SQ002" +# LimeSurvey Field type: A +data[, 110] <- as.character(data[, 110]) +attributes(data)$variable.labels[110] <- "[am taking online courses to sharpen my data skills] I" +data[, 110] <- factor(data[, 110], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[110] <- "CU01_SQ003" +# LimeSurvey Field type: A +data[, 111] <- as.character(data[, 111]) +attributes(data)$variable.labels[111] <- "[know how to find help online for solving data-related issues (e.g. on forums or discussion groups)] I" +data[, 111] <- factor(data[, 111], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[111] <- "CU01_SQ004" +# LimeSurvey Field type: A +data[, 112] <- as.character(data[, 112]) +attributes(data)$variable.labels[112] <- "[and my colleagues are aware of the latest developments and trends in data] I" +data[, 112] <- factor(data[, 112], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[112] <- "CU01_SQ005" +# LimeSurvey Field type: F +data[, 113] <- as.numeric(data[, 113]) +attributes(data)$variable.labels[113] <- "[ supervised learning] What is your knowledge level of" +names(data)[113] <- "KN01_SQ001" +# LimeSurvey Field type: F +data[, 114] <- as.numeric(data[, 114]) +attributes(data)$variable.labels[114] <- "[unsupervised learning] What is your knowledge level of" +names(data)[114] <- "KN01_SQ002" +# LimeSurvey Field type: F +data[, 115] <- as.numeric(data[, 115]) +attributes(data)$variable.labels[115] <- "[data visualization tools] What is your knowledge level of" +names(data)[115] <- "KN01_SQ003" +# LimeSurvey Field type: F +data[, 116] <- as.numeric(data[, 116]) +attributes(data)$variable.labels[116] <- "[Structured Query Language (SQL or similar)] What is your knowledge level of" +names(data)[116] <- "KN01_SQ004" +# LimeSurvey Field type: F +data[, 117] <- as.numeric(data[, 117]) +attributes(data)$variable.labels[117] <- "[Intelligent Information Retrieval (elastic search etc.)] What is your knowledge level of" +names(data)[117] <- "KN01_SQ005" +# LimeSurvey Field type: F +data[, 118] <- as.numeric(data[, 118]) +attributes(data)$variable.labels[118] <- "[Application Programming Interface (API)] What is your knowledge level of" +names(data)[118] <- "KN01_SQ006" +# LimeSurvey Field type: F +data[, 119] <- as.numeric(data[, 119]) +attributes(data)$variable.labels[119] <- "[web scraping] What is your knowledge level of" +names(data)[119] <- "KN01_SQ007" +# LimeSurvey Field type: F +data[, 120] <- as.numeric(data[, 120]) +attributes(data)$variable.labels[120] <- "[version control (git)] What is your knowledge level of" +names(data)[120] <- "KN01_SQ008" +# LimeSurvey Field type: F +data[, 121] <- as.numeric(data[, 121]) +attributes(data)$variable.labels[121] <- "[cloud computing (AWS/Digital Ocean/Azure/GCP)] What is your knowledge level of" +names(data)[121] <- "KN01_SQ009" +# LimeSurvey Field type: F +data[, 122] <- as.numeric(data[, 122]) +attributes(data)$variable.labels[122] <- "[file sharing services (Dropbox/onedrive etc.)] What is your knowledge level of" +names(data)[122] <- "KN01_SQ010" +# LimeSurvey Field type: F +data[, 123] <- as.numeric(data[, 123]) +attributes(data)$variable.labels[123] <- "[artificial intelligence (reinforcement learning)] What is your knowledge level of" +names(data)[123] <- "KN01_SQ011" +# LimeSurvey Field type: F +data[, 124] <- as.numeric(data[, 124]) +attributes(data)$variable.labels[124] <- "[quality control of data science programming (Unit testing / cross validation etc.)] What is your knowledge level of" +names(data)[124] <- "KN01_SQ012" +# LimeSurvey Field type: F +data[, 125] <- as.numeric(data[, 125]) +attributes(data)$variable.labels[125] <- "[search engine optimization (SEO)] What is your knowledge level of" +names(data)[125] <- "KN01_SQ013" +# LimeSurvey Field type: F +data[, 126] <- as.numeric(data[, 126]) +attributes(data)$variable.labels[126] <- "[data warehouses (SAP Business warehouse / Amazon Redshift etc.)] What is your knowledge level of" +names(data)[126] <- "KN01_SQ014" +# LimeSurvey Field type: F +data[, 127] <- as.numeric(data[, 127]) +attributes(data)$variable.labels[127] <- "[large scale experimentation (A/B Testing)] What is your knowledge level of" +names(data)[127] <- "KN01_SQ015" +# LimeSurvey Field type: A +data[, 128] <- as.character(data[, 128]) +attributes(data)$variable.labels[128] <- "[we have an explicit strategy with regard to data] In our organization" +data[, 128] <- factor(data[, 128], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[128] <- "ST01_SQ001" +# LimeSurvey Field type: A +data[, 129] <- as.character(data[, 129]) +attributes(data)$variable.labels[129] <- "[the strategy with regard to data has been translated into concrete policy] In our organization" +data[, 129] <- factor(data[, 129], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[129] <- "ST01_SQ002" +# LimeSurvey Field type: A +data[, 130] <- as.character(data[, 130]) +attributes(data)$variable.labels[130] <- "[the concrete measures are easy to implement] In our organization" +data[, 130] <- factor(data[, 130], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[130] <- "ST01_SQ003" +# LimeSurvey Field type: A +data[, 131] <- as.character(data[, 131]) +attributes(data)$variable.labels[131] <- "[sufficient budget and time is available for the implementation of the strategy] In our organization" +data[, 131] <- factor(data[, 131], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[131] <- "ST01_SQ004" +# LimeSurvey Field type: A +data[, 132] <- as.character(data[, 132]) +attributes(data)$variable.labels[132] <- "[the data science strategy is widely supported] In our organization" +data[, 132] <- factor(data[, 132], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[132] <- "ST01_SQ005" +# LimeSurvey Field type: A +data[, 133] <- as.character(data[, 133]) +attributes(data)$variable.labels[133] <- "[the data strategy is convincing] In our organization" +data[, 133] <- factor(data[, 133], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[133] <- "ST01_SQ006" +# LimeSurvey Field type: A +data[, 134] <- as.character(data[, 134]) +attributes(data)$variable.labels[134] <- "[the top (management) radiates the importance of data] In our organization" +data[, 134] <- factor(data[, 134], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[134] <- "ST01_SQ007" +# LimeSurvey Field type: A +data[, 135] <- as.character(data[, 135]) +attributes(data)$variable.labels[135] <- "[the top (management) is able to implement the policy] In our organization" +data[, 135] <- factor(data[, 135], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[135] <- "ST01_SQ008" +# LimeSurvey Field type: A +data[, 136] <- as.character(data[, 136]) +attributes(data)$variable.labels[136] <- "[Beginner - Has no experience with data science and needs tools to start collecting data] What is your perception about data maturity of your organization" +data[, 136] <- factor(data[, 136], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[136] <- "PM01_SQ001" +# LimeSurvey Field type: A +data[, 137] <- as.character(data[, 137]) +attributes(data)$variable.labels[137] <- "[Collector - Collects data, but has trouble properly cleaning, storing, and preparing data for analysis] What is your perception about data maturity of your organization" +data[, 137] <- factor(data[, 137], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[137] <- "PM01_SQ002" +# LimeSurvey Field type: A +data[, 138] <- as.character(data[, 138]) +attributes(data)$variable.labels[138] <- "[Descriptor - Can unlock the data in such a way that analyzes can be run, but still has little capacity / skills to run predictive analyses] What is your perception about data maturity of your organization" +data[, 138] <- factor(data[, 138], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[138] <- "PM01_SQ003" +# LimeSurvey Field type: A +data[, 139] <- as.character(data[, 139]) +attributes(data)$variable.labels[139] <- "[Predictor - Can run predictive analytics, but needs to gain insight into the latest developments in data science] What is your perception about data maturity of your organization" +data[, 139] <- factor(data[, 139], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[139] <- "PM01_SQ004" +# LimeSurvey Field type: A +data[, 140] <- as.character(data[, 140]) +attributes(data)$variable.labels[140] <- "[Expert - Is fully aware of all developments and possibilities in the field of data science and mainly needs the lab for short-term capacity filling] What is your perception about data maturity of your organization" +data[, 140] <- factor(data[, 140], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[140] <- "PM01_SQ005" +# LimeSurvey Field type: A +data[, 141] <- as.character(data[, 141]) +attributes(data)$variable.labels[141] <- "[immediately revise my position when new data is available] I" +data[, 141] <- factor(data[, 141], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[141] <- "SDI01_SQ001" +# LimeSurvey Field type: A +data[, 142] <- as.character(data[, 142]) +attributes(data)$variable.labels[142] <- "[always adhere to the applicable laws and regulations regarding data (e.g. the GDPR)] I" +data[, 142] <- factor(data[, 142], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[142] <- "SDI01_SQ002" +# LimeSurvey Field type: A +data[, 143] <- as.character(data[, 143]) +attributes(data)$variable.labels[143] <- "[am always willing to admit I\'m wrong when presented with new data] I" +data[, 143] <- factor(data[, 143], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[143] <- "SDI01_SQ003" +# LimeSurvey Field type: A +data[, 144] <- as.character(data[, 144]) +attributes(data)$variable.labels[144] <- "[always use data as the primary driver for my decision making, regardless of my interlocutor] I" +data[, 144] <- factor(data[, 144], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[144] <- "SDI01_SQ004" +# LimeSurvey Field type: A +data[, 145] <- as.character(data[, 145]) +attributes(data)$variable.labels[145] <- "[we have defined processes for all operational tasks] In my organization" +data[, 145] <- factor(data[, 145], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[145] <- "OPE01_SQ001" +# LimeSurvey Field type: A +data[, 146] <- as.character(data[, 146]) +attributes(data)$variable.labels[146] <- "[the processes are mostly automated] In my organization" +data[, 146] <- factor(data[, 146], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[146] <- "OPE01_SQ002" +# LimeSurvey Field type: A +data[, 147] <- as.character(data[, 147]) +attributes(data)$variable.labels[147] <- "[the automation almost eliminates the need of manual data collection / entry] In my organization" +data[, 147] <- factor(data[, 147], levels=c("AG1","AG2","AG3","AG4","AG5"),labels=c("Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree")) +names(data)[147] <- "OPE01_SQ003" +# Variable name was incorrect and was changed from to q_ . +