EasyReport 0.0.7

Generate a quick EDA report of a pandas DataFrame

Easy Report

Generates EDA reports from a pandas DataFrame.

Features of the package

The pandas df.describe() function is great but a little basic, for serious exploratory data analysis for any classification or regression problem EasyReport helps the user for quick data analysis.

For each column the following statistics (if relevant for the column type) are presented:

• Type inference: detect the types of columns in a dataframe
• Essentials: type, unique values, missing values, outliers
• Quantile statistics: minimum value, Q1, median, Q3, maximum, interquartile range, upper, lower
• Descriptive statistics: mean, variance, standard deviation, coefficient of variation, kurtosis, skewness
• Graphs: Histogram, boxplot, countplot, pie, scatterplot
• Correlations: correlation matrix, heatmap
• Duplicates: total number of duplicate row and number of times they are repated
• Missing value: number of missing values, dendrogram of missing values

Installation

You can install using the pip package manager by running

pip install EasyReport

Examples

For Classification Problem

import pandas as pd
from EasyReport.easy_report import EdaReport

#Read the dataset
df = pd.read_csv("Dataset")

report = EdaReport(data = df,target_column = 'target_column_name')
report.summary()

For Regression Problem

import pandas as pd
from EasyReport.easy_report import EdaReport

#Read the dataset
df = pd.read_csv("Dataset")

report = EdaReport(data = df,target_column = 'target_column_name',regression = True)
report.summary()

Author

• @Sumegh20