dataset <- readRDS("C:/rprojects/ggradialbar/data-raw/team-project-data.rds")
dfs <- dataset$data
dfs %>% skim()
| | | |:-------------------------------------------------|:-----------| | Name | Piped data | | Number of rows | 2217 | | Number of columns | 81 | | _______________________ | | | Column type frequency: | | | character | 1 | | factor | 1 | | numeric | 79 | | ________________________ | | | Group variables | None |
Data summary
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace | |:---------------|-----------:|---------------:|----:|----:|------:|----------:|-----------:| | .phase | 0 | 1 | 2 | 2 | 0 | 2 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts | |:---------------|-----------:|---------------:|:--------|----------:|:------------------------------------| | .cluster | 0 | 1 | FALSE | 4 | C1: 1258, C3: 344, C2: 308, C4: 307 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist | |:---------------|-----------:|---------------:|-------:|-------:|------:|-------:|-------:|-------:|--------:|:------| | .id | 0 | 1.00 | 609.95 | 353.83 | 1.00 | 304.00 | 605.00 | 916.00 | 1228.00 | ▇▇▇▇▇ | | safety | 0 | 1.00 | 0.00 | 1.00 | -2.12 | -0.79 | -0.09 | 0.81 | 1.79 | ▃▇▇▆▆ | | analyst | 0 | 1.00 | 0.00 | 1.00 | -1.40 | -0.78 | -0.26 | 0.62 | 3.77 | ▇▆▃▁▁ | | recognition | 32 | 0.99 | 0.02 | 0.99 | -2.68 | -0.57 | 0.11 | 0.70 | 2.39 | ▂▃▇▇▂ | | region | 0 | 1.00 | 0.00 | 1.00 | -0.80 | -0.80 | -0.23 | 0.34 | 6.07 | ▇▂▁▁▁ | | instance | 0 | 1.00 | 0.00 | 1.00 | -1.46 | -0.78 | -0.10 | 0.74 | 2.61 | ▇▇▆▃▁ | | county | 0 | 1.00 | 0.00 | 1.00 | -0.81 | -0.81 | -0.28 | 0.25 | 5.54 | ▇▂▁▁▁ | | math | 0 | 1.00 | 0.00 | 1.00 | -1.55 | -0.82 | -0.09 | 0.64 | 2.83 | ▇▇▆▃▁ | | dummy | 2217 | 0.00 | NaN | NA | NA | NA | NA | NA | NA | | | penalty | 0 | 1.00 | 0.00 | 1.00 | -1.47 | -0.77 | -0.19 | 0.64 | 4.68 | ▇▆▂▁▁ | | skill | 0 | 1.00 | 0.00 | 1.00 | -0.99 | -0.72 | -0.18 | 0.37 | 4.45 | ▇▅▁▁▁ | | desk | 0 | 1.00 | 0.00 | 1.00 | -1.17 | -0.75 | -0.10 | 0.54 | 3.10 | ▇▅▂▁▁ | | inflation | 0 | 1.00 | 0.00 | 1.00 | -0.82 | -0.82 | -0.25 | 0.32 | 4.87 | ▇▂▁▁▁ | | connection | 0 | 1.00 | 0.00 | 1.00 | -2.41 | -0.83 | 0.16 | 0.75 | 1.54 | ▂▃▅▇▇ | | member | 0 | 1.00 | 0.00 | 1.00 | -1.47 | -0.69 | -0.30 | 0.68 | 2.44 | ▇▇▅▅▂ | | stranger | 0 | 1.00 | 0.00 | 1.00 | -2.37 | -0.84 | -0.07 | 0.69 | 2.73 | ▂▅▇▃▁ | | aspect | 0 | 1.00 | 0.00 | 1.00 | -1.26 | -0.68 | -0.24 | 0.50 | 5.79 | ▇▃▁▁▁ | | direction | 0 | 1.00 | 0.00 | 1.00 | -1.00 | -0.72 | -0.17 | 0.65 | 3.41 | ▇▃▂▁▁ | | procedure | 0 | 1.00 | 0.00 | 1.00 | -0.92 | -0.92 | -0.14 | 0.63 | 3.76 | ▇▃▂▁▁ | | poem | 0 | 1.00 | 0.00 | 1.00 | -1.20 | -0.93 | -0.12 | 0.69 | 3.13 | ▇▅▃▂▁ | | mixture | 0 | 1.00 | 0.00 | 1.00 | -0.81 | -0.81 | -0.40 | 0.42 | 4.08 | ▇▂▁▁▁ | | psychology | 0 | 1.00 | 0.00 | 1.00 | -0.76 | -0.76 | -0.34 | 0.50 | 4.29 | ▇▂▁▁▁ | | cigarette | 0 | 1.00 | 0.00 | 1.00 | -1.33 | -0.74 | -0.20 | 0.55 | 5.46 | ▇▅▁▁▁ | | marketing | 0 | 1.00 | 0.00 | 1.00 | -1.43 | -0.70 | -0.15 | 0.58 | 3.50 | ▇▇▃▂▁ | | storage | 0 | 1.00 | 0.00 | 1.00 | -0.32 | -0.32 | -0.32 | -0.32 | 3.09 | ▇▁▁▁▁ | | garbage | 0 | 1.00 | 0.00 | 1.00 | -2.12 | -0.68 | -0.07 | 0.81 | 2.25 | ▂▅▇▃▂ | | lab | 0 | 1.00 | 0.00 | 1.00 | -2.21 | -0.78 | 0.09 | 0.70 | 2.13 | ▃▃▇▅▃ | | mom | 0 | 1.00 | 0.00 | 1.00 | -2.35 | -0.76 | -0.05 | 0.72 | 3.02 | ▂▇▇▅▁ | | assumption | 0 | 1.00 | 0.00 | 1.00 | -2.46 | -0.70 | 0.17 | 0.75 | 1.93 | ▂▆▇▇▃ | | oven | 0 | 1.00 | 0.00 | 1.00 | -1.66 | -0.79 | -0.22 | 0.66 | 2.71 | ▅▇▆▃▂ | | vehicle | 0 | 1.00 | 0.00 | 1.00 | -0.96 | -0.86 | -0.35 | 0.55 | 3.28 | ▇▃▂▁▁ | | meaning | 0 | 1.00 | 0.00 | 1.00 | -0.72 | -0.72 | -0.32 | 0.27 | 5.22 | ▇▁▁▁▁ | | outcome | 0 | 1.00 | 0.00 | 1.00 | -1.21 | -1.21 | 0.03 | 0.76 | 2.14 | ▇▇▆▁▃ | | alcohol | 0 | 1.00 | 0.00 | 1.00 | -2.08 | -0.80 | -0.15 | 0.82 | 2.91 | ▃▇▆▅▁ | | director | 0 | 1.00 | 0.00 | 1.00 | -1.33 | -0.67 | 0.06 | 0.97 | 1.90 | ▅▇▅▆▂ | | soup | 0 | 1.00 | 0.00 | 1.00 | -2.46 | -0.62 | 0.52 | 0.52 | 2.72 | ▂▇▇▂▁ | | establishment | 0 | 1.00 | 0.00 | 1.00 | -2.19 | -0.80 | -0.14 | 0.70 | 3.05 | ▂▇▆▃▁ | | historian | 0 | 1.00 | 0.00 | 1.00 | -1.03 | -1.03 | -0.34 | 0.66 | 2.92 | ▇▁▃▂▁ | | reflection | 0 | 1.00 | 0.00 | 1.00 | -1.12 | -1.12 | -0.41 | 0.37 | 2.08 | ▇▆▆▅▂ | | competition | 0 | 1.00 | 0.00 | 1.00 | -1.01 | -1.01 | -0.22 | 0.69 | 2.44 | ▇▇▅▁▃ | | hat | 0 | 1.00 | 0.00 | 1.00 | -1.01 | -1.01 | -0.38 | 0.61 | 2.46 | ▇▁▃▁▂ | | painting | 0 | 1.00 | 0.00 | 1.00 | -2.07 | -1.28 | 0.05 | 0.05 | 2.20 | ▅▁▇▃▁ | | software | 0 | 1.00 | 0.00 | 1.00 | -0.96 | -0.96 | -0.96 | 1.04 | 1.04 | ▇▁▁▁▇ | | effort | 0 | 1.00 | 0.00 | 1.00 | -1.00 | -1.00 | -1.00 | 1.00 | 1.00 | ▇▁▁▁▇ | | contract | 0 | 1.00 | 0.00 | 1.00 | -0.73 | -0.73 | -0.32 | 0.71 | 2.98 | ▇▂▁▁▁ | | reading | 0 | 1.00 | 0.00 | 1.00 | -1.70 | -1.70 | 0.59 | 0.59 | 0.59 | ▃▁▁▁▇ | | inspection | 0 | 1.00 | 0.00 | 1.00 | -1.05 | -1.05 | 0.95 | 0.95 | 0.95 | ▇▁▁▁▇ | | goal | 0 | 1.00 | 0.00 | 1.00 | -4.53 | 0.22 | 0.22 | 0.22 | 0.22 | ▁▁▁▁▇ | | improvement | 0 | 1.00 | 0.00 | 1.00 | -0.07 | -0.07 | -0.07 | -0.07 | 13.55 | ▇▁▁▁▁ | | dad | 0 | 1.00 | 0.00 | 1.00 | -1.25 | -0.61 | 0.04 | 0.68 | 1.97 | ▇▃▂▁▂ | | birthday | 0 | 1.00 | 0.00 | 1.00 | -1.62 | -1.62 | 0.62 | 0.62 | 0.62 | ▃▁▁▁▇ | | teaching | 0 | 1.00 | 0.00 | 1.00 | -0.78 | -0.78 | -0.78 | 0.35 | 1.68 | ▇▁▂▁▃ | | weakness | 0 | 1.00 | 0.00 | 1.00 | -0.30 | -0.30 | -0.30 | -0.30 | 3.30 | ▇▁▁▁▁ | | physics | 0 | 1.00 | 0.00 | 1.00 | -1.31 | -1.05 | 0.39 | 1.18 | 1.18 | ▇▃▁▅▇ | | army | 0 | 1.00 | 0.00 | 1.00 | -1.23 | -0.99 | -0.14 | 0.97 | 1.52 | ▇▃▃▂▆ | | resource | 0 | 1.00 | 0.00 | 1.00 | -1.24 | -0.88 | -0.19 | 0.80 | 2.32 | ▇▅▃▃▂ | | meat | 0 | 1.00 | 0.00 | 1.00 | -1.08 | -0.91 | -0.29 | 0.78 | 2.76 | ▇▃▂▂▁ | | committee | 0 | 1.00 | 0.00 | 1.00 | -1.62 | -0.31 | -0.31 | 0.35 | 2.31 | ▅▇▃▃▂ | | indication | 0 | 1.00 | 0.00 | 1.00 | -1.56 | -0.87 | -0.18 | 0.51 | 2.58 | ▇▇▅▅▁ | | entry | 0 | 1.00 | 0.00 | 1.00 | -2.07 | -0.69 | 0.00 | 0.69 | 3.10 | ▃▇▇▂▁ | | debt | 0 | 1.00 | 0.00 | 1.00 | -2.68 | -0.38 | 0.62 | 0.68 | 0.68 | ▁▁▁▁▇ | | river | 0 | 1.00 | 0.00 | 1.00 | -1.82 | -0.72 | 0.04 | 0.83 | 2.03 | ▆▇▇▇▃ | | bonus | 0 | 1.00 | 0.00 | 1.00 | -1.89 | -0.73 | -0.01 | 0.79 | 1.95 | ▅▇▇▇▅ | | membership | 0 | 1.00 | 0.00 | 1.00 | -0.62 | -0.62 | -0.62 | 1.62 | 1.62 | ▇▁▁▁▃ | | song | 0 | 1.00 | 0.00 | 1.00 | -0.43 | -0.43 | -0.43 | -0.43 | 2.34 | ▇▁▁▁▂ | | tennis | 0 | 1.00 | 0.00 | 1.00 | -0.69 | -0.69 | -0.69 | 1.45 | 1.45 | ▇▁▁▁▃ | | nature | 0 | 1.00 | 0.00 | 1.00 | -0.57 | -0.57 | -0.57 | -0.57 | 1.76 | ▇▁▁▁▂ | | union | 0 | 1.00 | 0.00 | 1.00 | -0.33 | -0.33 | -0.33 | -0.33 | 3.07 | ▇▁▁▁▁ | | judgment | 0 | 1.00 | 0.00 | 1.00 | -0.19 | -0.19 | -0.19 | -0.19 | 5.24 | ▇▁▁▁▁ | | poet | 0 | 1.00 | 0.00 | 1.00 | -0.61 | -0.61 | -0.61 | 1.64 | 1.64 | ▇▁▁▁▃ | | possession | 0 | 1.00 | 0.00 | 1.00 | -0.93 | -0.93 | -0.93 | 1.07 | 1.07 | ▇▁▁▁▇ | | church | 0 | 1.00 | 0.00 | 1.00 | -1.35 | -0.79 | 0.03 | 0.59 | 2.52 | ▇▇▆▃▁ | | measurement | 0 | 1.00 | 0.00 | 1.00 | -1.47 | -0.74 | -0.01 | 0.72 | 2.41 | ▇▆▅▃▂ | | office | 0 | 1.00 | 0.00 | 1.00 | -2.05 | -0.79 | -0.10 | 0.70 | 2.60 | ▃▇▇▅▂ | | injury | 0 | 1.00 | 0.00 | 1.00 | -1.71 | -0.83 | -0.12 | 0.76 | 2.53 | ▆▇▆▅▂ | | buyer | 0 | 1.00 | 0.00 | 1.00 | -2.54 | -0.70 | 0.08 | 0.87 | 1.66 | ▂▅▇▇▇ | | relationship | 0 | 1.00 | 0.00 | 1.00 | -1.67 | -0.82 | -0.19 | 0.77 | 2.58 | ▇▇▇▅▂ | | advertising | 0 | 1.00 | 0.00 | 1.00 | -1.29 | -0.89 | -0.11 | 0.68 | 1.85 | ▇▆▃▅▃ | | property | 0 | 1.00 | 0.00 | 1.00 | -1.13 | -1.13 | -0.08 | 0.44 | 2.01 | ▇▃▂▂▃ |
# after removing dummy column and NAs
dfs_wide <-dfs %>% select(-dummy) %>% drop_na()
dfs_wide %>% skim()
| | | |:-------------------------------------------------|:-----------| | Name | Piped data | | Number of rows | 2185 | | Number of columns | 80 | | _______________________ | | | Column type frequency: | | | character | 1 | | factor | 1 | | numeric | 78 | | ________________________ | | | Group variables | None |
Data summary
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace | |:---------------|-----------:|---------------:|----:|----:|------:|----------:|-----------:| | .phase | 0 | 1 | 2 | 2 | 0 | 2 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts | |:---------------|-----------:|---------------:|:--------|----------:|:------------------------------------| | .cluster | 0 | 1 | FALSE | 4 | C1: 1236, C3: 343, C2: 305, C4: 301 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist | |:---------------|-----------:|---------------:|-------:|-------:|------:|-------:|-------:|-------:|--------:|:------| | .id | 0 | 1 | 609.77 | 353.88 | 1.00 | 303.00 | 604.00 | 916.00 | 1228.00 | ▇▇▇▇▇ | | safety | 0 | 1 | 0.01 | 1.00 | -2.12 | -0.79 | -0.05 | 0.81 | 1.79 | ▃▇▇▆▆ | | analyst | 0 | 1 | 0.00 | 1.00 | -1.40 | -0.78 | -0.26 | 0.62 | 3.77 | ▇▆▃▁▁ | | recognition | 0 | 1 | 0.02 | 0.99 | -2.68 | -0.57 | 0.11 | 0.70 | 2.39 | ▂▃▇▇▂ | | region | 0 | 1 | 0.00 | 1.00 | -0.80 | -0.80 | -0.23 | 0.34 | 6.07 | ▇▂▁▁▁ | | instance | 0 | 1 | 0.00 | 1.00 | -1.46 | -0.78 | -0.10 | 0.74 | 2.61 | ▇▇▆▃▁ | | county | 0 | 1 | 0.00 | 1.00 | -0.81 | -0.81 | -0.28 | 0.25 | 5.54 | ▇▂▁▁▁ | | math | 0 | 1 | 0.01 | 1.00 | -1.55 | -0.82 | -0.09 | 0.64 | 2.83 | ▇▇▆▃▁ | | penalty | 0 | 1 | 0.01 | 1.00 | -1.47 | -0.77 | -0.19 | 0.64 | 4.68 | ▇▆▂▁▁ | | skill | 0 | 1 | 0.00 | 1.00 | -0.99 | -0.72 | -0.18 | 0.37 | 4.45 | ▇▅▁▁▁ | | desk | 0 | 1 | 0.00 | 1.00 | -1.17 | -0.75 | -0.10 | 0.54 | 3.10 | ▇▅▂▁▁ | | inflation | 0 | 1 | 0.00 | 1.00 | -0.82 | -0.82 | -0.25 | 0.32 | 4.87 | ▇▂▁▁▁ | | connection | 0 | 1 | 0.00 | 1.00 | -2.41 | -0.83 | 0.16 | 0.75 | 1.54 | ▂▃▅▇▇ | | member | 0 | 1 | 0.00 | 1.00 | -1.47 | -0.69 | -0.30 | 0.68 | 2.44 | ▇▇▅▅▂ | | stranger | 0 | 1 | 0.00 | 1.00 | -2.37 | -0.84 | -0.07 | 0.69 | 2.73 | ▂▅▇▃▁ | | aspect | 0 | 1 | 0.00 | 1.00 | -1.26 | -0.68 | -0.24 | 0.50 | 5.79 | ▇▃▁▁▁ | | direction | 0 | 1 | 0.00 | 1.00 | -1.00 | -0.72 | -0.17 | 0.65 | 3.41 | ▇▃▂▁▁ | | procedure | 0 | 1 | 0.00 | 1.00 | -0.92 | -0.92 | -0.14 | 0.63 | 3.76 | ▇▃▂▁▁ | | poem | 0 | 1 | 0.00 | 1.00 | -1.20 | -0.93 | -0.12 | 0.69 | 3.13 | ▇▅▃▂▁ | | mixture | 0 | 1 | 0.00 | 1.00 | -0.81 | -0.81 | -0.40 | 0.42 | 4.08 | ▇▂▁▁▁ | | psychology | 0 | 1 | 0.00 | 1.00 | -0.76 | -0.76 | -0.34 | 0.50 | 4.29 | ▇▂▁▁▁ | | cigarette | 0 | 1 | 0.00 | 1.00 | -1.33 | -0.74 | -0.20 | 0.55 | 5.46 | ▇▅▁▁▁ | | marketing | 0 | 1 | 0.00 | 1.00 | -1.43 | -0.70 | -0.15 | 0.58 | 3.50 | ▇▇▃▁▁ | | storage | 0 | 1 | 0.00 | 1.01 | -0.32 | -0.32 | -0.32 | -0.32 | 3.09 | ▇▁▁▁▁ | | garbage | 0 | 1 | 0.00 | 1.00 | -2.12 | -0.68 | -0.07 | 0.81 | 2.25 | ▂▅▇▃▂ | | lab | 0 | 1 | 0.00 | 1.00 | -2.21 | -0.78 | 0.09 | 0.70 | 2.13 | ▃▃▇▅▃ | | mom | 0 | 1 | 0.00 | 1.00 | -2.35 | -0.76 | -0.05 | 0.72 | 3.02 | ▂▇▇▅▁ | | assumption | 0 | 1 | 0.00 | 1.00 | -2.46 | -0.70 | 0.17 | 0.75 | 1.93 | ▂▆▇▇▃ | | oven | 0 | 1 | 0.00 | 1.00 | -1.66 | -0.79 | -0.22 | 0.66 | 2.71 | ▅▇▆▃▂ | | vehicle | 0 | 1 | 0.00 | 1.00 | -0.96 | -0.86 | -0.35 | 0.55 | 3.28 | ▇▃▂▁▁ | | meaning | 0 | 1 | 0.00 | 1.00 | -0.72 | -0.72 | -0.32 | 0.27 | 5.22 | ▇▁▁▁▁ | | outcome | 0 | 1 | 0.01 | 1.00 | -1.21 | -1.21 | 0.03 | 0.76 | 2.14 | ▇▇▆▁▃ | | alcohol | 0 | 1 | 0.00 | 1.00 | -2.08 | -0.80 | -0.14 | 0.82 | 2.91 | ▃▇▆▅▁ | | director | 0 | 1 | 0.00 | 1.00 | -1.33 | -0.67 | 0.06 | 0.97 | 1.90 | ▅▇▅▆▂ | | soup | 0 | 1 | 0.00 | 1.00 | -2.46 | -0.62 | 0.52 | 0.52 | 2.72 | ▂▇▇▂▁ | | establishment | 0 | 1 | 0.00 | 1.00 | -2.19 | -0.80 | -0.13 | 0.71 | 3.05 | ▂▇▆▃▁ | | historian | 0 | 1 | 0.01 | 1.00 | -1.03 | -1.03 | -0.34 | 0.66 | 2.92 | ▇▁▃▂▁ | | reflection | 0 | 1 | 0.00 | 1.00 | -1.12 | -1.12 | -0.41 | 0.37 | 2.08 | ▇▆▆▅▂ | | competition | 0 | 1 | 0.00 | 1.00 | -1.01 | -1.01 | -0.22 | 0.69 | 2.44 | ▇▇▅▁▃ | | hat | 0 | 1 | 0.00 | 1.00 | -1.01 | -1.01 | -0.38 | 0.61 | 2.46 | ▇▁▃▁▂ | | painting | 0 | 1 | 0.00 | 1.00 | -2.07 | -1.28 | 0.05 | 0.05 | 2.20 | ▅▁▇▃▁ | | software | 0 | 1 | -0.01 | 1.00 | -0.96 | -0.96 | -0.96 | 1.04 | 1.04 | ▇▁▁▁▇ | | effort | 0 | 1 | 0.00 | 1.00 | -1.00 | -1.00 | -1.00 | 1.00 | 1.00 | ▇▁▁▁▇ | | contract | 0 | 1 | 0.00 | 1.00 | -0.73 | -0.73 | -0.32 | 0.71 | 2.98 | ▇▂▁▁▁ | | reading | 0 | 1 | -0.01 | 1.00 | -1.70 | -1.70 | 0.59 | 0.59 | 0.59 | ▃▁▁▁▇ | | inspection | 0 | 1 | 0.01 | 1.00 | -1.05 | -1.05 | 0.95 | 0.95 | 0.95 | ▇▁▁▁▇ | | goal | 0 | 1 | 0.00 | 1.00 | -4.53 | 0.22 | 0.22 | 0.22 | 0.22 | ▁▁▁▁▇ | | improvement | 0 | 1 | 0.00 | 1.01 | -0.07 | -0.07 | -0.07 | -0.07 | 13.55 | ▇▁▁▁▁ | | dad | 0 | 1 | 0.00 | 1.00 | -1.25 | -0.61 | 0.04 | 0.68 | 1.97 | ▇▃▂▁▂ | | birthday | 0 | 1 | 0.00 | 1.00 | -1.62 | -1.62 | 0.62 | 0.62 | 0.62 | ▃▁▁▁▇ | | teaching | 0 | 1 | 0.00 | 1.00 | -0.78 | -0.78 | -0.78 | 0.35 | 1.68 | ▇▁▂▁▃ | | weakness | 0 | 1 | 0.00 | 1.00 | -0.30 | -0.30 | -0.30 | -0.30 | 3.30 | ▇▁▁▁▁ | | physics | 0 | 1 | 0.00 | 1.00 | -1.31 | -1.05 | 0.39 | 1.18 | 1.18 | ▇▃▁▅▇ | | army | 0 | 1 | 0.00 | 1.00 | -1.23 | -0.99 | -0.14 | 0.97 | 1.52 | ▇▃▃▂▆ | | resource | 0 | 1 | 0.00 | 1.00 | -1.24 | -0.88 | -0.19 | 0.80 | 2.32 | ▇▅▃▃▂ | | meat | 0 | 1 | 0.00 | 1.00 | -1.08 | -0.91 | -0.29 | 0.78 | 2.76 | ▇▃▂▂▁ | | committee | 0 | 1 | 0.00 | 1.00 | -1.62 | -0.31 | -0.31 | 0.35 | 2.31 | ▅▇▃▃▂ | | indication | 0 | 1 | 0.01 | 1.00 | -1.56 | -0.87 | -0.18 | 0.51 | 2.58 | ▇▇▅▅▂ | | entry | 0 | 1 | 0.00 | 1.00 | -2.07 | -0.69 | 0.00 | 0.69 | 3.10 | ▃▇▇▂▁ | | debt | 0 | 1 | 0.00 | 1.00 | -2.68 | -0.38 | 0.62 | 0.68 | 0.68 | ▁▁▁▁▇ | | river | 0 | 1 | 0.00 | 1.00 | -1.82 | -0.72 | 0.04 | 0.83 | 2.03 | ▆▇▇▇▃ | | bonus | 0 | 1 | 0.00 | 1.00 | -1.89 | -0.73 | -0.01 | 0.79 | 1.95 | ▅▇▇▇▅ | | membership | 0 | 1 | 0.00 | 1.00 | -0.62 | -0.62 | -0.62 | 1.62 | 1.62 | ▇▁▁▁▃ | | song | 0 | 1 | 0.00 | 1.00 | -0.43 | -0.43 | -0.43 | -0.43 | 2.34 | ▇▁▁▁▂ | | tennis | 0 | 1 | 0.00 | 1.00 | -0.69 | -0.69 | -0.69 | 1.45 | 1.45 | ▇▁▁▁▃ | | nature | 0 | 1 | 0.00 | 1.00 | -0.57 | -0.57 | -0.57 | -0.57 | 1.76 | ▇▁▁▁▂ | | union | 0 | 1 | 0.00 | 1.00 | -0.33 | -0.33 | -0.33 | -0.33 | 3.07 | ▇▁▁▁▁ | | judgment | 0 | 1 | 0.00 | 1.01 | -0.19 | -0.19 | -0.19 | -0.19 | 5.24 | ▇▁▁▁▁ | | poet | 0 | 1 | 0.01 | 1.00 | -0.61 | -0.61 | -0.61 | 1.64 | 1.64 | ▇▁▁▁▃ | | possession | 0 | 1 | -0.01 | 1.00 | -0.93 | -0.93 | -0.93 | 1.07 | 1.07 | ▇▁▁▁▇ | | church | 0 | 1 | 0.01 | 1.00 | -1.35 | -0.79 | 0.03 | 0.86 | 2.52 | ▇▇▆▃▁ | | measurement | 0 | 1 | 0.00 | 1.00 | -1.47 | -0.74 | -0.01 | 0.72 | 2.41 | ▇▆▅▃▂ | | office | 0 | 1 | 0.00 | 1.00 | -2.05 | -0.79 | -0.10 | 0.70 | 2.60 | ▃▇▇▅▂ | | injury | 0 | 1 | 0.00 | 1.00 | -1.71 | -0.83 | -0.12 | 0.76 | 2.53 | ▆▇▆▅▂ | | buyer | 0 | 1 | 0.00 | 1.00 | -2.54 | -0.70 | 0.08 | 0.87 | 1.66 | ▂▅▇▇▇ | | relationship | 0 | 1 | 0.00 | 1.00 | -1.67 | -0.82 | -0.19 | 0.77 | 2.58 | ▇▇▇▅▂ | | advertising | 0 | 1 | 0.00 | 1.00 | -1.29 | -0.89 | -0.11 | 0.68 | 1.85 | ▇▆▃▅▃ | | property | 0 | 1 | 0.00 | 1.00 | -1.13 | -1.13 | -0.08 | 0.44 | 2.01 | ▇▃▂▂▃ |
grs <- dataset$feature_groups
grs %>% skim()
| | | |:-------------------------------------------------|:-----------| | Name | Piped data | | Number of rows | 77 | | Number of columns | 3 | | _______________________ | | | Column type frequency: | | | character | 1 | | factor | 1 | | numeric | 1 | | ________________________ | | | Group variables | None |
Data summary
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace | |:---------------|-----------:|---------------:|----:|----:|------:|----------:|-----------:| | feature | 0 | 1 | 3 | 13 | 0 | 77 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts | |:---------------|-----------:|---------------:|:--------|----------:|:----------------------------------| | .gr_name | 0 | 1 | FALSE | 10 | obl: 16, aud: 12, loc: 12, eco: 8 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist | |:---------------|-----------:|---------------:|-----:|-----:|----:|----:|----:|----:|-----:|:------| | .gr_id | 0 | 1 | 4.91 | 2.87 | 1 | 2 | 5 | 7 | 10 | ▇▃▇▃▃ |
load("C:/rprojects/ggradialbar/data/tidy_data.rda")
tidy_data %>% skim()
| | | |:-------------------------------------------------|:-----------| | Name | Piped data | | Number of rows | 170677 | | Number of columns | 7 | | _______________________ | | | Column type frequency: | | | character | 2 | | factor | 2 | | numeric | 3 | | ________________________ | | | Group variables | None |
Data summary
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace | |:---------------|-----------:|---------------:|----:|----:|------:|----------:|-----------:| | .phase | 0 | 1 | 2 | 2 | 0 | 2 | 0 | | feature | 0 | 1 | 3 | 13 | 0 | 77 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts | |:---------------|-----------:|---------------:|:--------|----------:|:-----------------------------------------------| | .cluster | 0 | 1 | FALSE | 4 | C1: 96844, C3: 26487, C2: 23713, C4: 23633 | | .gr_name | 0 | 1 | FALSE | 10 | obl: 35472, loc: 26604, aud: 26572, eco: 17736 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist | |:---------------|-----------:|---------------:|-------:|-------:|------:|-------:|-------:|-------:|--------:|:------| | .id | 0 | 1 | 609.95 | 353.75 | 1.00 | 304.00 | 605.00 | 916.00 | 1228.00 | ▇▇▇▇▇ | | value | 0 | 1 | 0.00 | 1.00 | -4.53 | -0.72 | -0.19 | 0.66 | 13.55 | ▂▇▁▁▁ | | .gr_id | 0 | 1 | 4.91 | 2.85 | 1.00 | 2.00 | 5.00 | 7.00 | 10.00 | ▇▃▇▃▃ |
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