{"id":23992771,"url":"https://github.com/rkschroeder/datapractice","last_synced_at":"2026-04-13T17:06:47.797Z","repository":{"id":267932449,"uuid":"902774405","full_name":"rkschroeder/DataPractice","owner":"rkschroeder","description":"A collection of non-guided projects for practicing SQL and Python. 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The library versions vary by project and are specified in the corresponding requirements.txt file.\n\n## Project1: Motorcycle Sales Analysis\n\nThis project analyzes sales data from a motorcycle parts. It includes creating a database, data retrieving and creating visualizations\nto answer business questions. \n\nKey files:\n- `Project1/Project1_Motorcycle_Sales.ipynb` - Jupyter notebook for analysis\n- `Project1/sales_data.sqlite` - SQLite database containing sales data\n\nTools: \n- SQL, Python (matploblib, pandas,seaborn)\n\n## Project2: Mental Health Data Analysis\n\nThis project analyzes mental health issues in the IT sector. It includes data cleaning, data analysis and visualizations.  \n\nKey files:\n- `Project2/Project2_Mental_Health_IT.ipynb` - Jupyter notebook for analysis\n- `Project2/mental_health.sqlite` - SQLite database containing mental health data\n\nTools: \n- Python (matploblib, pandas,seaborn)\n\n## Project3: Prediction of the State of Charge of Batteries in Electric Vehicles \n\nThis 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.\n\nKey files: \n- `Project3/Overview.xsls` - Data\n- `Project3/Project3_Prediction.ipynb`- Jupyter notebook for data analysis and machine learning \n\nTools: \n- Python (matploblib, pandas,seaborn, sklearn)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frkschroeder%2Fdatapractice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frkschroeder%2Fdatapractice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frkschroeder%2Fdatapractice/lists"}