This dataset contains the results of a salary survey conducted by Ask a Manager. The survey collects data on salaries, benefits, and other compensation information from people working in a variety of industries.
Please be aware that the Jupyter Notebook in this repository may experience issues when running the Pandas Profiling library due to recent updates. Pandas Profiling is a powerful tool for exploratory data analysis and generates comprehensive reports about your dataset, including statistics, visualizations, and data quality checks. Unfortunately, some updates to the library may have caused compatibility issues. You may need to adjust your Pandas Profiling settings or library versions to ensure it works properly.
Pandas Profiling is an open-source Python library used for generating interactive HTML reports from a Pandas DataFrame. These reports provide valuable insights into your data, including summary statistics, data distributions, missing values, correlations, and more. It is a helpful tool for data exploration and initial data quality assessment.
To experience the full functionality of this Jupyter Notebook, it is recommended to run it on the Kaggle platform. Kaggle provides a comprehensive environment for data analysis and machine learning with many pre-installed libraries, including Pandas Profiling. You can import the notebook into Kaggle or upload the dataset to Kaggle and run it within their environment for the best experience.