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Big Mart Sales Data Analysis using python

The data scientists at BigMart have collected 2013 sales data for some products across few stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to analyse this data set to find out some important already hidden insights of the data set.

This analysis work is used to understand the properties of products and stores which play a key role in increasing sales.

project_name = "Project-Work-Zero-to-Pandas" 
!pip install jovian --upgrade -q
WARNING: You are using pip version 20.2.2; however, version 20.2.3 is available. You should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.

Data Preparation and Cleaning

In this section, we are going to prepare and clean the data set for further analysis work. For this purpose we use two libraries ,i.e., pandas and numpy

# Loading required Libraries
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt