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$PCT_WOMEN_ON_BOARD) ``` <!-- --> ] --- <footer></footer> # Your turn .smaller[ ```r plot(data$PCT_WOMEN_ON_BOARD, data$EQY_BETA) ``` <!-- --> ] --- <footer></footer> # Your turn .smaller[ ```r plot(data$BOARD_SIZE, data$EQY_BETA) ``` <!-- --> ] --- <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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" width="576" /> ]