Python Draw Charts on Text Data kaggle Author Names vs Classifier Names

Kaggle link https://www.kaggle.com/code/muhammadwaqasm/draw-charts-on-text-data-author-vs-proposed-method Creating a chart to visualize author names versus classifier names in Python is a powerful way to gain insights into the relationships between authors and the machine learning models they employ. In this tutorial, we use Python with the pandas and matplotlib libraries to load and process a dataset, group the data by Kaggle author names, and then create a stacked bar chart to illustrate the distribution of classifier names. The process involves loading your dataset, exploring its structure, and preparing the data for visualization by grouping the information appropriately. The resulting stacked bar chart provides a clear representation of how different authors use various classifiers in their Kaggle projects. The x-axis represents Kaggle author names, the y-axis depicts the count of classifiers, and different colors within each bar indicate the distribution of specific classifiers.