Metadata-Version: 2.1
Name: exploredata
Version: 0.0.2
Summary: A package that performs Exploratory Data Analysis
Home-page: https://github.com/Sumta4real/ExploratoryDataAnalysis
Author: Sumayyah Taiwo
Author-email: sumty4deen@gmail.com
License: MIT
Description: 
        Python Package that performs Exploratory Data Analysis
        
        #### exploredata is built on Pandas and Numpy. It gives an overview of a csv data file.
         - It imports csv file and returns the summary of the data in the file using the Pandas Dataframe.info() function.
         - It contains method (**null_cat and null_num**) that returns the number of missing categorical and numerical features respectively
         - It also has method that returns the number of numerical and categorical features as well the number of features containing outliers
         - It also contains method (**num_viz and cat_viz**) that plot histogram and boxplot for each numerical variable as well as the count plot for each categorical variables.
        
        ## Installing
        
        pip install exploredata
        
        ## Usage
        
        - **import exploredata as ep**   *#imports the exploredata package*
        
        - **new_variable = ep.EDA(file path)**  *#calls the EDA module in the package. The module import your csv file and assign it as a pandas dataframe to the variable 'train'. It also returns the summarry of the data*
        - **new_variable.df**  *#prints the pandas dataframe*   
        - **new_variable.num_var()**      *#returns a tuple containing the number and the list of numerical variables in the dataframe*
        - **train.null_var()**  *#returns a tuple containing the number and the list of numerical variables containing null values*
        - **help(ep.EDA)**  *#provide information on all methods defined in the EDA module*
        
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
