pycateda Python Package - A simplified Exploratory Data Analysis with less lines of code
Project description
pycateda Python Package - A simplified Exploratory Data Analysis with less lines of code
What does it do?
- Read the data and returns a DataFrame
- Get a summary of basic descriptive analysis of the dataset A. Top 5 rows B. Bottom 5 rows C. The shape of the Data Frame D. Missing Values in the data frame E. Duplicate rows F. Descriptive statistics for Numerical + Categorical columns G. Number of unique values for each feature H. The unique identifier I. Prints Unique Value of Each feature J. Relative frequency (%) of unique values or bins of numerical features
- Get the Count of Null Values in each column
- Get Percentage % of missing values in each column
- Shows Missing Values Plots of the DataFrame
- Build a Profile Report of the entire dataset
- Check numerical variables in the DataFrame
- Check discrete variables in the Data Frame
- Check Continuous variables in the Data Frame
- Analyze continuous variables Visually in the Data Frame
- Analyze Transformed ( Log ) Continuous Variables
- Analyze Outliers in the data frame (Box Plots)
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