class: middle, inverse # Your turn - Load the data in file `sp500_data.csv` into your statistical software package - This file contains data on companies in the _S&P 500 Index_ from _Bloomberg_ <br> - Get an overview about the available data - Prepare _descriptive statistics_ about the data at hand - Try to prepare summary statistics by industry/sector - Try to prepare figures describing one or more variables in the data set you find interesting <br> - Make sure to use a `script` and _document_ how you solved the task --- <footer></footer> # Your turn ```r data <- read.csv("data/sp500_data.csv") ``` ```r str(data) ``` ``` ## 'data.frame': 505 obs. of 21 variables: ## $ LAST_UPDATE_DT : Factor w/ 1 level "2019-11-18": 1 1 1 1 1 1 1 1 1 1 ... ## $ NAME : Factor w/ 505 levels "3M CO","ABBOTT LABORATORIES",..: 13 32 8 49 3 39 4 2 5 7 ... ## $ INDUSTRY_SECTOR : Factor w/ 9 levels "Basic Materials",..: 7 3 3 8 4 4 4 4 8 8 ... ## $ INDUSTRY_GROUP : Factor w/ 60 levels "Advertising",..: 20 4 51 14 47 47 27 27 14 55 ... ## $ INDUSTRY_SUBGROUP : Factor w/ 183 levels "Advertising Agencies",..: 68 7 149 40 106 110 114 114 38 67 ... ## $ PX_LAST : num 77.9 28.6 163.7 267.1 88.7 ... ## $ CHG_NET_YTD : num 10.48 -3.51 6.21 109.36 -3.46 ... ## $ EQY_DVD_YLD_IND : num 0.842 1.399 0.147 1.153 5.32 ... ## $ EQY_BETA : num 1.111 1.261 0.927 1.065 1.157 ... ## $ PE_RATIO : num 28.11 5.95 21.62 22.53 11.43 ... ## $ CUR_MKT_CAP : num 2.41e+10 1.25e+10 1.13e+10 1.19e+12 1.31e+11 ... ## $ BOARD_SIZE : int 10 12 10 8 11 10 7 13 12 11 ... ## $ PCT_WOMEN_ON_BOARD : num 20 16.7 20 25 27.3 ... ## $ NUMBER_OF_WOMEN_ON_BOARD : int 2 2 2 2 3 3 2 5 4 2 ... ## $ BOARD_AVERAGE_TENURE : num 7.5 6.6 3.77 10.71 5.8 ... ## $ BOARD_AVERAGE_AGE : num 64.2 64 59.5 65.1 63.9 ... ## $ NUMBER_OF_DIRECTORS_ON_BOARD : int 11 10 11 7 11 9 7 14 12 11 ... ## $ PERCENTAGE_OF_FEMALE_EXECUTIVES : num 0 33.3 0 40 18.2 ... ## $ FEMALE_CHAIRPERSON_OR_EQUIVALENT: logi FALSE FALSE FALSE FALSE FALSE FALSE ... ## $ FEMALE_CEO_OR_EQUIVALENT : logi FALSE FALSE FALSE FALSE FALSE FALSE ... ## $ AVERAGE_BOD_TOTAL_COMPENSATION : num 312225 309745 206227 404575 330366 ... ``` --- <footer></footer> # Your turn .smaller[ ```r summary(data) ``` ``` ## LAST_UPDATE_DT NAME INDUSTRY_SECTOR ## 2019-11-18:505 3M CO : 1 Consumer, Non-cyclical:106 ## ABBOTT LABORATORIES : 1 Financial : 99 ## ABBVIE INC : 1 Consumer, Cyclical : 70 ## ABIOMED INC : 1 Industrial : 67 ## ACCENTURE PLC-CL A : 1 Technology : 51 ## ACTIVISION BLIZZARD INC: 1 Communications : 37 ## (Other) :499 (Other) : 75 ## INDUSTRY_GROUP INDUSTRY_SUBGROUP PX_LAST ## REITS : 31 Electric-Integrated : 22 Min. : 8.95 ## Retail : 29 Oil Comp-Explor&Prodtn : 13 1st Qu.: 49.25 ## Electric : 25 Electronic Compo-Semicon: 11 Median : 88.73 ## Banks : 23 Commercial Serv-Finance : 10 Mean : 134.82 ## Insurance : 22 Medical Products : 10 3rd Qu.: 147.63 ## Diversified Finan Serv: 21 Medical-Biomedical/Gene : 9 Max. :3652.64 ## (Other) :354 (Other) :430 ## CHG_NET_YTD EQY_DVD_YLD_IND EQY_BETA PE_RATIO ## Min. :-146.950 Min. : 0.01963 Min. :0.3954 Min. : 5.499 ## 1st Qu.: 5.395 1st Qu.: 1.42585 1st Qu.:0.8485 1st Qu.: 13.780 ## Median : 15.170 Median : 2.19592 Median :1.0167 Median : 20.662 ## Mean : 28.076 Mean : 2.44812 Mean :0.9887 Mean : 27.016 ## 3rd Qu.: 33.490 3rd Qu.: 3.13591 3rd Qu.:1.1327 3rd Qu.: 29.485 ## Max. :1215.650 Max. :10.72961 Max. :1.7004 Max. :708.164 ## NA's :6 NA's :81 NA's :11 NA's :15 ## CUR_MKT_CAP BOARD_SIZE PCT_WOMEN_ON_BOARD NUMBER_OF_WOMEN_ON_BOARD ## Min. :3.950e+09 Min. : 5.00 Min. : 0.00 Min. :0.000 ## 1st Qu.:1.308e+10 1st Qu.:10.00 1st Qu.:18.18 1st Qu.:2.000 ## Median :2.323e+10 Median :11.00 Median :25.00 Median :3.000 ## Mean :5.635e+10 Mean :10.98 Mean :24.62 Mean :2.709 ## 3rd Qu.:5.055e+10 3rd Qu.:12.00 3rd Qu.:30.00 3rd Qu.:3.000 ## Max. :1.187e+12 Max. :21.00 Max. :55.56 Max. :7.000 ## NA's :3 NA's :3 NA's :3 ## BOARD_AVERAGE_TENURE BOARD_AVERAGE_AGE NUMBER_OF_DIRECTORS_ON_BOARD ## Min. : 0.7436 Min. :52.15 Min. : 5.00 ## 1st Qu.: 6.3238 1st Qu.:61.09 1st Qu.:10.00 ## Median : 7.9167 Median :63.24 Median :11.00 ## Mean : 8.4706 Mean :63.07 Mean :11.05 ## 3rd Qu.:10.1805 3rd Qu.:65.00 3rd Qu.:12.00 ## Max. :29.1389 Max. :77.22 Max. :22.00 ## NA's :3 NA's :7 NA's :3 ## PERCENTAGE_OF_FEMALE_EXECUTIVES FEMALE_CHAIRPERSON_OR_EQUIVALENT ## Min. : 0.000 Mode :logical ## 1st Qu.: 9.318 FALSE:483 ## Median :16.667 TRUE :17 ## Mean :17.811 NA's :5 ## 3rd Qu.:25.000 ## Max. :66.667 ## NA's :3 ## FEMALE_CEO_OR_EQUIVALENT AVERAGE_BOD_TOTAL_COMPENSATION ## Mode :logical Min. : 4900 ## FALSE:479 1st Qu.: 244614 ## TRUE :23 Median : 278393 ## NA's :3 Mean : 315444 ## 3rd Qu.: 312225 ## Max. :6286809 ## NA's :12 ``` ] --- <footer></footer> # Your turn ```r mean(data$CUR_MKT_CAP) ``` ``` ## [1] 56348498967 ``` ```r mean(data$BOARD_SIZE, na.rm=TRUE) ``` ``` ## [1] 10.98207 ``` ```r mean(data$AVERAGE_BOD_TOTAL_COMPENSATION, na.rm=TRUE) ``` ``` ## [1] 315443.6 ``` ```r sd(data$CUR_MKT_CAP) ``` ``` ## [1] 116900588955 ``` ```r sd(data$BOARD_SIZE, na.rm=TRUE) ``` ``` ## [1] 2.069086 ``` ```r sd(data$AVERAGE_BOD_TOTAL_COMPENSATION, na.rm=TRUE) ``` ``` ## [1] 402246.7 ``` --- <footer></footer> # Your turn ```r library(tidyverse) data %>% group_by(INDUSTRY_SECTOR) %>% summarise(mean(BOARD_SIZE, na.rm=TRUE), min(BOARD_SIZE, na.rm=TRUE), max(BOARD_SIZE, na.rm=TRUE)) ``` ``` ## # A tibble: 9 x 4 ## INDUSTRY_SECTOR `mean(BOARD_SIZE, na.~ `min(BOARD_SIZE, na.~ `max(BOARD_SIZE, na.~ ## <fct> <dbl> <int> <int> ## 1 Basic Materials 11.1 6 16 ## 2 Communications 10.7 7 15 ## 3 Consumer, Cyclical 11.0 5 14 ## 4 Consumer, Non-cyc~ 11.0 6 16 ## 5 Energy 10.6 7 16 ## 6 Financial 11.6 7 21 ## 7 Industrial 10.7 6 14 ## 8 Technology 10.1 5 15 ## 9 Utilities 11.8 8 15 ``` --- <footer></footer> # Your turn ```r library(tidyverse) data %>% group_by(INDUSTRY_SECTOR) %>% summarise(mean(PCT_WOMEN_ON_BOARD, na.rm=TRUE), min(PCT_WOMEN_ON_BOARD, na.rm=TRUE), max(PCT_WOMEN_ON_BOARD, na.rm=TRUE)) ``` ``` ## # A tibble: 9 x 4 ## INDUSTRY_SECTOR `mean(PCT_WOMEN_ON_BO~ `min(PCT_WOMEN_ON_BOA~ `max(PCT_WOMEN_ON_BO~ ## <fct> <dbl> <dbl> <dbl> ## 1 Basic Materials 25.9 15.4 41.7 ## 2 Communications 24.6 0 55.6 ## 3 Consumer, Cyclic~ 26.1 8.33 50 ## 4 Consumer, Non-cy~ 25.0 9.09 45.5 ## 5 Energy 22.0 9.09 36.4 ## 6 Financial 25.4 10 45.5 ## 7 Industrial 23.0 7.69 37.5 ## 8 Technology 22.8 8.33 44.4 ## 9 Utilities 25.5 14.3 50 ``` --- <footer></footer> # Your turn .smaller[ ```r hist(data$PCT_WOMEN_ON_BOARD) ``` ![](data:image/png;base64,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)<!-- --> ] --- <footer></footer> # Your turn .smaller[ ```r plot(data$PCT_WOMEN_ON_BOARD, data$EQY_BETA) ``` ![](data:image/png;base64,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)<!-- --> ] --- <footer></footer> # Your turn .smaller[ ```r plot(data$BOARD_SIZE, data$EQY_BETA) ``` ![](data:image/png;base64,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)<!-- --> ] --- <footer></footer> # Your turn .smaller[ ```r grouped <- data %>% group_by(INDUSTRY_SECTOR) %>% summarise(mean=mean(PCT_WOMEN_ON_BOARD, na.rm=TRUE), min=min(PCT_WOMEN_ON_BOARD, na.rm=TRUE), max=max(PCT_WOMEN_ON_BOARD, na.rm=TRUE)) ``` ```r grouped %>% ggplot(aes(x = INDUSTRY_SECTOR, y = mean)) + geom_col(width=0.7) ``` <img src="data:image/png;base64,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" 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