https://github.com/aaditya29/swiggy-dataset-project
Data Science Project
https://github.com/aaditya29/swiggy-dataset-project
data-science jupyter python swiggy swiggy-dataset
Last synced: 3 months ago
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Data Science Project
- Host: GitHub
- URL: https://github.com/aaditya29/swiggy-dataset-project
- Owner: aaditya29
- Created: 2024-02-23T07:53:23.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-25T11:34:22.000Z (over 2 years ago)
- Last Synced: 2025-02-07T08:34:33.326Z (over 1 year ago)
- Topics: data-science, jupyter, python, swiggy, swiggy-dataset
- Language: Jupyter Notebook
- Homepage:
- Size: 3.22 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# Swiggy Data Analysis
## Background Information
> Project of swiggy data science analysis tasks completed using the Python library.
In this project we use Python Pandas & Python Matplotlib to analyze and answer business questions about swiggy sales data.
We start by cleaning our data. Tasks during this section include:
- Drop NaN values from DataFrame.
- Removing rows based on a condition.
- Change the type of columns (to_numeric, to_datetime, astype).
Once we have cleaned up our data a bit, we move the data exploration section where we explore 5 high level business questions related to our data:
- What was the best month for sales? How much was earned that month?
- What city sold the most product?
- What time should we display advertisemens to maximize the likelihood of customer’s buying product?
- What products are most often sold together?
- What product sold the most? Why do you think it sold the most?
To answer these questions we walk through many different pandas & matplotlib methods. They include:
- Concatenating multiple csvs together to create a new DataFrame `(pd.concat)`.
- Adding columns.
- Parsing cells as strings to make new columns `(.str)`.
- Using the `.apply()` method.
- Using groupby to perform aggregate analysis.
- Plotting bar charts and lines graphs to visualize our results.
- Labeling our graphs.
## About Dataset
The Swiggy Restaurant Dataset is a comprehensive collection of data related to restaurants available on the Swiggy food delivery platform.
This dataset provides valuable information about various aspects of restaurants, enabling users to explore, analyze, and gain insights into the restaurant landscape on Swiggy.