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Hey everyone,
In this video I have implemented a Data Analysis project of 'Market Segment Analysis for Mall' using python where the goal is to gain valuable insights about the preference of people while shopping based upon some historical data that will be helpful for strategic planning of business of mall to increase profit.
Dataset :
www.kaggle.com/datasets/iamso...
Code:
github.com/RishaRane/Market_S...
IDE : Google Colab - colab.google
Libraries used :
Plotly, Matplotlib, Seaborn, Pandas
00:00 Starting
01:07 Importing Libraries
03:47 Data Cleaning
06:04 EDA (Exploratory Data Analysis)
04:41 1.Distribution of Age - Distribution Plot
11:50 2.Gender Distribution - Pie Chart
14:58 3.Most Commonly preferred items - Bar plot
20:14 4.Season-wise shopping preference - Pie Chart
23:07 5.Location Preference - Bar plot
26:49 6.Prefered payment methods - Pie Chart
30:10 7.Frequency of Purchases Distribution - Histogram
33:06 8.Promo Code usage distribution - Pie Chart
34:48 9.Shipping Type Preference - Pie Chart
36:54 10.Average Rating genderwise - Boxplot
39:53 11.Color Preference - Pie Chart
43:04 12.Category by gender and payment method - Sunburst plot
#dataanalysis
#python
#matplotlib
#datavisualization
Thanks for watching!
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