The data contains 150 cases and 5 variables.
| name | type | n | missing | unique | mean | median | mode | mode_value | sd | v | min | max | range | skew | skew_2se | kurt | kurt_2se |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sepal.Length | numeric | 150 | 0 | 35 | 5.84 | 5.80 | 5.80 | 0.83 | 4.3 | 7.9 | 3.6 | 0.31 | 0.78 | -0.61 | -0.77 | ||
| Sepal.Width | numeric | 150 | 0 | 23 | 3.06 | 3.00 | 3.00 | 0.44 | 2.0 | 4.4 | 2.4 | 0.31 | 0.79 | 0.14 | 0.18 | ||
| Petal.Length | numeric | 150 | 0 | 43 | 3.76 | 4.35 | 4.35 | 1.77 | 1.0 | 6.9 | 5.9 | -0.27 | -0.68 | -1.42 | -1.80 | ||
| Petal.Width | numeric | 150 | 0 | 22 | 1.20 | 1.30 | 1.30 | 0.76 | 0.1 | 2.5 | 2.4 | -0.10 | -0.25 | -1.36 | -1.73 | ||
| Species | factor | 150 | 0 | 4 | 50.00 | setosa | 0.67 |
- Name: Variable name
- type: Data type of the variable
- missing: Proportion of missing values for this variable
- unique: Number of unique values
- mean: Mean value
- median: Median value
- mode: Most common value (for categorical variables, this shows the frequency of the most common category)
- mode_value: For categorical variables, the value of the most common category
- sd: Standard deviation (measure of dispersion for numerical variables
- v: Agresti’s V (measure of dispersion for categorical variables)
- min: Minimum value
- max: Maximum value
- range: Range between minimum and maximum value
- skew: Skewness of the variable
- skew_2se: Skewness of the variable divided by 2*SE of the skewness. If this is greater than abs(1), skewness is significant
- kurt: Kurtosis (peakedness) of the variable
- kurt_2se: Kurtosis of the variable divided by 2*SE of the kurtosis. If this is greater than abs(1), kurtosis is significant.
This codebook was generated using the Workflow for Open Reproducible Code in Science (WORCS)