this project covering Numpy, Pandas and Matplotlin in Python book (Chapter 2-4 ) here is the link of the book https://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf

You have to cover all the code of the three chapters depending on the data sets. The datasets should be less than 50 rows and 8 columns. You have to show and explain all the graphs and results of the code in a word file (data file).

The written report should contain the following six sections: (1) Introduction to the project; (2) Explanations of the data; (3) Details of the methods that you used in your project; (4) Results of the data analysis (tables and graphs) ; (5) Discussions and conclusions; (6) References (link of the data set).

• Please follow these six instructions in your written report first, then in the final page of the written report you must answer the following questions:
• 1- What is the topic of the project?
• 2- What data sets will be used, including the variables measured?
  • final report.word
  • a data file.word (AFTER YOU RUN THE CODE IN SPYDER, PUT THE RESULTS AND GRAPHS IN A WORD FILE) and explain explain everything in the results and graphs
  • code file (the python code)

• 3- What questions and/or concerns do you have about the project?
• 4- Discuss some advantages of Python packages when you are working on your project. For example, Matplotlin can show much better graphs than those in R.)

• Evaluations:

• Content: Creative, challenging or brilliant experimental question backed by well-designed experiment/project that clearly addresses the purpose of the study. Strong conclusion and analysis.
• Organization: Topic is obvious; layout is logical and segments of the flow from one to another.
• Appropriate: Project was able to take very difficult upper level material

• You must submit three separate files