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  1. 4
      .gitignore
  2. 108
      Kahoot Result.Rmd
  3. 13
      Kahoot_Result.Rproj

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.gitignore

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.Rproj.user
.Rhistory
.RData
.Ruserdata

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Kahoot Result.Rmd

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---
title: "Kahoot Report"
author: "Scary Scarecrow"
date: "5/4/2022"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
culture<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"),
Votes=c(0,7,0,0,1))
training<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"),
Votes=c(0,3,3,2,0))
mentor<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"),
Votes=c(0,4,1,2,1))
documentation<-data.frame(Answer=c("Fully","Somewhat","Not Much","Not Clue","No Answer"),
Votes=c(0,3,3,1,0))
controls<-data.frame(Answer=c("Legislation","Business","Process","Risk","No Answer"),
Votes=c(5,6,3,5,0))
simulations<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"),
Votes=c(0,1,1,3,2))
automation<-data.frame(Answer=c("Yes","No"),
Votes=c(7,0))
tech_use<-c("AI","AI","excel","BI","Lucy","Recipe predict","Tableau","Cloud")
tech_challenges<-c("Time","Time","Time","Resistance","Time","People","Knowledge",
"People","People", "Excel", "Speed", "Data Availability", "Self Exp","Frequency")
strunstr<-data.frame(Answer=c("Definitely","Somewhat","Nope","No Clue","No Answer"),
Votes=c(3,2,2,0,0))
quality<-data.frame(Answer=c("Definitely","Somewhat","Nope","No Clue","No Answer"),
Votes=c(0,2,4,1,0))
sources<-data.frame(Answer=c("Definitely","Somewhat","Nope","No Clue","No Answer"),
Votes=c(2,4,1,0,0))
library(dplyr)
library(wordcloud)
library(highcharter)
library(tidyr)
```
## Technology
```{r}
tech_use<-as.data.frame(table(tech_use))
wordcloud(tech_use$tech_use, tech_use$Freq, min.freq = 1, random.color = T, colors = c("red","green","purple","blue","cyan","magenta","grey2"), scale = c(2,0.5), rot.per = 0, fixed.asp = F)
```
```{r}
tech_challenges<-as.data.frame(table(tech_challenges))
wordcloud(tech_challenges$tech_challenges, tech_challenges$Freq, min.freq = 1, random.color = T, colors = c("red","green","purple","blue","cyan","magenta","grey2"), scale = c(2,0.5), rot.per = 0, fixed.asp = F)
```
## People
```{r}
culture
training
mentor
culture |>
rename(Culture=Votes) |>
bind_cols(training) |>
select(1,2,4) |>
rename(Answer=Answer...1, Training=Votes) |>
bind_cols(mentor) |>
select(-4) |>
rename(Answer=Answer...1, Mentor=Votes) |>
pivot_longer(!Answer,names_to = "Type",values_to = "values") |>
#pivot_wider(names_from = Answer, values_from = values)
mutate(point=case_when(
Answer=="Definitely" ~ 4,
Answer=="Somewhat" ~ 3,
Answer=="No Way" ~ 2,
Answer=="Not Sure" ~ 1,
Answer=="No Answer" ~ 0,
)) |>
mutate(score=values*point) |>
group_by(Type) |>
summarise(score=sum(score)/sum(values)) |>
mutate(Max=4) |>
mutate(score=round(score*100/Max,2)) |>
ungroup() |>
arrange(score) |>
hchart("column", hcaes(x=Type, y=score), name="People",
tooltip = list(pointFormat = "Avg. Score {point.Type}: {point.score}%"),
dataLabels = list(enabled = TRUE, format= "{point.score}%")) |>
hc_yAxis(title = list(text = "Average Score (%)"),
labels = list(format = "{value}%"), max = 100) |>
hc_title(text = "Score: People") |>
hc_subtitle(text = "Average score from culture promotion and training and mentorship opportunities") |>
hc_credits(enabled = TRUE,
text = "LaNubia Data Science",
href = "https://www.lanubia.com/") |>
hc_tooltip() |>
hc_add_theme(hc_theme_economist()) |>
hc_exporting(enabled = TRUE, # always enabled
filename = "People")
```

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Kahoot_Result.Rproj

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Version: 1.0
RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default
EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX
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