https://github.com/rkschroeder/datapractice
A collection of non-guided projects for practicing SQL and Python.
https://github.com/rkschroeder/datapractice
jupyter-notebook matplotlib pandas seaborn sklearn sql
Last synced: 2 months ago
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A collection of non-guided projects for practicing SQL and Python.
- Host: GitHub
- URL: https://github.com/rkschroeder/datapractice
- Owner: rkschroeder
- Created: 2024-12-13T08:40:43.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-12T13:57:59.000Z (over 1 year ago)
- Last Synced: 2025-02-25T06:15:37.004Z (over 1 year ago)
- Topics: jupyter-notebook, matplotlib, pandas, seaborn, sklearn, sql
- Language: Jupyter Notebook
- Homepage:
- Size: 4.07 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
This repository contains various projects related to data analysis and data science.
The projects span different domains such as mental health, sales data analysis, and more.
Each project is contained in its own directory with its respective code, data, and documentation.
For each project, I created a virtual environment using Conda (via Miniconda). The library versions vary by project and are specified in the corresponding requirements.txt file.
## Project1: Motorcycle Sales Analysis
This project analyzes sales data from a motorcycle parts. It includes creating a database, data retrieving and creating visualizations
to answer business questions.
Key files:
- `Project1/Project1_Motorcycle_Sales.ipynb` - Jupyter notebook for analysis
- `Project1/sales_data.sqlite` - SQLite database containing sales data
Tools:
- SQL, Python (matploblib, pandas,seaborn)
## Project2: Mental Health Data Analysis
This project analyzes mental health issues in the IT sector. It includes data cleaning, data analysis and visualizations.
Key files:
- `Project2/Project2_Mental_Health_IT.ipynb` - Jupyter notebook for analysis
- `Project2/mental_health.sqlite` - SQLite database containing mental health data
Tools:
- Python (matploblib, pandas,seaborn)
## Project3: Prediction of the State of Charge of Batteries in Electric Vehicles
This project aims to predict the state of charge of batteries using real measurements. It includes data analysis, feature engineering, and machine learning to develop prediction models.
Key files:
- `Project3/Overview.xsls` - Data
- `Project3/Project3_Prediction.ipynb`- Jupyter notebook for data analysis and machine learning
Tools:
- Python (matploblib, pandas,seaborn, sklearn)