Description

Descriptive Statistics is a wide range topic in the world of Statistics

Especially when we encounter with High-Volume data, It would be better to come up with summarized version of it.

Constraints:

• Features(Attributes/Columns): Needs to be of Integer/Float datatype.

Functionalities

• Measures of Central Tendency
  • Mean
  • Median
  • Mode
• Measures of Dispersion
  • Range
  • Quartiles
    • Q1
    • Q2
    • Q3
    • Adjusted Q1
    • Adjusted Q2
  • Outliers
    • Z-Score method
    • IQR method
  • Variance
  • Standard Deviation
  • Coefficient of Variation
• Measures of Symmetry
  • Skew
    • Left Skew
    • Right Skew
    • Symmetric
  • Kurtosis
    • Leptokurtic
    • Mesokurtic
    • Platykurtic
• Measures of Association
  • Covariance
  • Correlation
• Normal Distribution (Empirical Rule)
  • P68
  • P95
  • P97
• Multicollinearity
  • VIF (Variance Inflation Factor)
• Misc
  • Minimum
  • Maximum
  • Sum
  • Count
  • Missing

Output

How to import

pip install desc-stats

How to Use

from desc_stats import desc_stats

desc_stats(df, features) # list of features
desc_stats(df, feature1, feature2, ....) # Single feature

Contribute

pip install -e .[dev]