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.Rproj.user |
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.Rhistory |
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.RData |
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.Ruserdata |
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--- |
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title: "Kahoot Report" |
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author: "Scary Scarecrow" |
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date: "5/4/2022" |
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output: html_document |
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--- |
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```{r setup, include=FALSE} |
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knitr::opts_chunk$set(echo = TRUE) |
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culture<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"), |
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Votes=c(0,7,0,0,1)) |
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training<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"), |
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Votes=c(0,3,3,2,0)) |
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mentor<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"), |
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Votes=c(0,4,1,2,1)) |
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documentation<-data.frame(Answer=c("Fully","Somewhat","Not Much","Not Clue","No Answer"), |
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Votes=c(0,3,3,1,0)) |
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controls<-data.frame(Answer=c("Legislation","Business","Process","Risk","No Answer"), |
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Votes=c(5,6,3,5,0)) |
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simulations<-data.frame(Answer=c("Definitely","Somewhat","No Way","Not Sure","No Answer"), |
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Votes=c(0,1,1,3,2)) |
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automation<-data.frame(Answer=c("Yes","No"), |
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Votes=c(7,0)) |
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tech_use<-c("AI","AI","excel","BI","Lucy","Recipe predict","Tableau","Cloud") |
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tech_challenges<-c("Time","Time","Time","Resistance","Time","People","Knowledge", |
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"People","People", "Excel", "Speed", "Data Availability", "Self Exp","Frequency") |
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strunstr<-data.frame(Answer=c("Definitely","Somewhat","Nope","No Clue","No Answer"), |
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Votes=c(3,2,2,0,0)) |
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quality<-data.frame(Answer=c("Definitely","Somewhat","Nope","No Clue","No Answer"), |
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Votes=c(0,2,4,1,0)) |
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sources<-data.frame(Answer=c("Definitely","Somewhat","Nope","No Clue","No Answer"), |
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Votes=c(2,4,1,0,0)) |
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library(dplyr) |
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library(wordcloud) |
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library(highcharter) |
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library(tidyr) |
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``` |
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## Technology |
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```{r} |
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tech_use<-as.data.frame(table(tech_use)) |
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wordcloud(tech_use$tech_use, tech_use$Freq, min.freq = 1, random.color = T, colors = c("red","green","purple","blue","cyan","magenta","grey2"), scale = c(2,0.5), rot.per = 0, fixed.asp = F) |
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``` |
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```{r} |
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tech_challenges<-as.data.frame(table(tech_challenges)) |
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wordcloud(tech_challenges$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) |
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``` |
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## People |
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```{r} |
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culture |
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training |
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mentor |
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culture |> |
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rename(Culture=Votes) |> |
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bind_cols(training) |> |
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select(1,2,4) |> |
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rename(Answer=Answer...1, Training=Votes) |> |
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bind_cols(mentor) |> |
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select(-4) |> |
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rename(Answer=Answer...1, Mentor=Votes) |> |
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pivot_longer(!Answer,names_to = "Type",values_to = "values") |> |
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#pivot_wider(names_from = Answer, values_from = values) |
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mutate(point=case_when( |
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Answer=="Definitely" ~ 4, |
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Answer=="Somewhat" ~ 3, |
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Answer=="No Way" ~ 2, |
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Answer=="Not Sure" ~ 1, |
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Answer=="No Answer" ~ 0, |
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)) |> |
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mutate(score=values*point) |> |
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group_by(Type) |> |
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summarise(score=sum(score)/sum(values)) |> |
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mutate(Max=4) |> |
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mutate(score=round(score*100/Max,2)) |> |
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ungroup() |> |
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arrange(score) |> |
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hchart("column", hcaes(x=Type, y=score), name="People", |
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tooltip = list(pointFormat = "Avg. Score {point.Type}: {point.score}%"), |
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dataLabels = list(enabled = TRUE, format= "{point.score}%")) |> |
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hc_yAxis(title = list(text = "Average Score (%)"), |
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labels = list(format = "{value}%"), max = 100) |> |
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hc_title(text = "Score: People") |> |
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hc_subtitle(text = "Average score from culture promotion and training and mentorship opportunities") |> |
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hc_credits(enabled = TRUE, |
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text = "LaNubia Data Science", |
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href = "https://www.lanubia.com/") |> |
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hc_tooltip() |> |
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hc_add_theme(hc_theme_economist()) |> |
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hc_exporting(enabled = TRUE, # always enabled |
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filename = "People") |
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``` |
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@ -0,0 +1,13 @@ |
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Version: 1.0 |
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RestoreWorkspace: Default |
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SaveWorkspace: Default |
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AlwaysSaveHistory: Default |
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EnableCodeIndexing: Yes |
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UseSpacesForTab: Yes |
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NumSpacesForTab: 2 |
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Encoding: UTF-8 |
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RnwWeave: Sweave |
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LaTeX: pdfLaTeX |
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