https://github.com/leonism/sample-superstore
This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas
https://github.com/leonism/sample-superstore
data-analysis datamining datascience dataset eda jupyter-notebook machine-learning python
Last synced: 4 months ago
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This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas
- Host: GitHub
- URL: https://github.com/leonism/sample-superstore
- Owner: leonism
- Created: 2020-06-06T10:11:40.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-02-19T00:58:10.000Z (11 months ago)
- Last Synced: 2025-03-25T06:33:48.897Z (10 months ago)
- Topics: data-analysis, datamining, datascience, dataset, eda, jupyter-notebook, machine-learning, python
- Language: Jupyter Notebook
- Homepage: https://leonism.github.io/sample-superstore/
- Size: 30.2 MB
- Stars: 7
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Sample SuperStore
This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. This Notebook is running on top of the following stacks :
## Requirements
- [Python 3.7](https://www.python.org/downloads/release/python-370/)
- [Pandas 1.0.4](https://pandas.pydata.org/getting_started.html)
- [Matplotlib 3.2.1](https://matplotlib.org/3.2.1/contents.html)
## Background
The learning curve was designed, even for those whose relatively coming from a non-technical background. Each of the phase would only require for you to copy and paste the code to your Jupyter Notebook instance. The learning steps are describe as the following examples:
- 01 - [Data Exploration - SampleSuperStore.ipynb](https://github.com/leonism/sample-superstore/blob/master/01-%20Data%20Exploration%20-%20SampleSuperStore.ipynb)
- 02 - [Data Cleaning - SampleSuperStore.ipynb](https://github.com/leonism/sample-superstore/blob/master/02-%20Data%20Cleaning%20-%20SampleSuperStore.ipynb)
- 03 - [Data Grouping - SampleSuperStore.ipynb](https://github.com/leonism/sample-superstore/blob/master/03-%20Data%20Grouping%20-%20SampleSuperStore.ipynb)
- 04 - [Data Sorting - SampleSuperStore.ipynb](https://github.com/leonism/sample-superstore/blob/master/04-%20Data%20Sorting%20-%20SampleSuperStore.ipynb)
- 05 - [Data Pivot - SampleSuperStore.ipynb](https://github.com/leonism/sample-superstore/blob/master/05-%20Data%20Pivot%20-%20SampleSuperStore.ipynb)
- 06- [Data Visualization - SampleSuperStore.ipynb](https://github.com/leonism/sample-superstore/blob/master/06-%20Data%20Visualization%20-%20SampleSuperStore.ipynb)
So be sure to match those above mentioned technical requirements. Fell free to fork, download and enhance the Notebooks files. This is a work in progress, and I wouldn't consider this a finish project.
## Start
- source venv/bin/activate
- jupyter lab
- Fire up your browser and visit http://localhost:8888/
## Disclaimer:
And please remember, as this is only a weekend pet project, I'm doing them for my personal interest only.