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Analyzed TMDb movies dataset using the Python libraries NumPy, pandas, and Matplotlib to make the analysis easier and then communicated the findings about it

License: MIT License

HTML 55.63% Jupyter Notebook 44.37%

investigate-a-dataset's Introduction

Investigate-A-Dataset

Overview

Analyzed The TMDb movie data set cleaned from original data on Kaggle using the Python libraries NumPy, pandas, and Matplotlib to make the analysis easier and then communicated the findings about it.

Steps Followed

  • Downloaded the TMDb data set and chose to do analysis using Jupyter notebook.
  • Data was cleaned for missing data, inappropriate data, etc. using NumPy and pandas.
  • Analyzed the data. Brainstormed some questions by looking at the data set to answer them in the process using visualizations.
  • Communicated the findings and limitations from the analysis.

Tools and Technologies used

  • Jupyter Notebook
  • pandas
  • NumPy
  • Python
  • Matplotlib
  • seaborn

investigate-a-dataset's People

Contributors

amarjeetsingh1999 avatar

Watchers

James Cloos avatar

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