- Please Use The Data Found In This Link Https Www Kaggle Com Datasets Tamber Steam Video Games 1 (115.67 KiB) Viewed 64 times
Please use the data found in this link: https://www.kaggle.com/datasets/tamber/steam-video-games
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answerhappygod
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Please use the data found in this link: https://www.kaggle.com/datasets/tamber/steam-video-games
Please use the data found in thislink: https://www.kaggle.com/datasets/tamber/ ... ideo-games
Assignment Content Submit a Jupyter Notebook file (.ipynb) of the Python program you made for visualizing the dataset you have obtained and posted on the discussion board. Your submission will be graded as follows: 1. Use of Numpy/Pandas library (1 point) 2. Use of Matplotlib library and other visualization libraries (2 points) 3. There should be bar and line graphs (8 points) 4. Include also either an animation or user interactivity on your plots (6 points). *Note: For the animation, you can use other libraries aside from Matplotlib. The use of the default magic command is not considered user interactivity. So, aside from using the command %matplotlib notebook, you should create a custom code for user interactivity or animation. You have learned that in the Coursera course. 5. Discuss or describe the trends observed in the visualizations obtained, and also explain what is the nature of the animation or user interactivity (2 points) *Note: Have these discussions in the Jupyter Notebook as a markdown text and not a comment line. 6. Include a comment line or markdown text of your name and student number (1 point). Please follow the file name convention: Course-Section-M2-Prog-Exer-Student Number (e.g. DS100-2-A10-M2-Prog-Exer- 2020114901) Final Note: The total points based on the rubrics above is 20 points. Deductions will be given if there are errors in the Jupyter Notebook. Submit also the Excel/CSV file you have used in your code. Submit also a screen/video recording of you doing the programming exercise. The recording should not exceed 30 minutes. Upload the recording to a cloud storage drive (or on Youtube) and share the link. Submission of the data set and screen recording will be for 20 points. Deductions will be given if you will not submit these items.
Assignment Content Submit a Jupyter Notebook file (.ipynb) of the Python program you made for visualizing the dataset you have obtained and posted on the discussion board. Your submission will be graded as follows: 1. Use of Numpy/Pandas library (1 point) 2. Use of Matplotlib library and other visualization libraries (2 points) 3. There should be bar and line graphs (8 points) 4. Include also either an animation or user interactivity on your plots (6 points). *Note: For the animation, you can use other libraries aside from Matplotlib. The use of the default magic command is not considered user interactivity. So, aside from using the command %matplotlib notebook, you should create a custom code for user interactivity or animation. You have learned that in the Coursera course. 5. Discuss or describe the trends observed in the visualizations obtained, and also explain what is the nature of the animation or user interactivity (2 points) *Note: Have these discussions in the Jupyter Notebook as a markdown text and not a comment line. 6. Include a comment line or markdown text of your name and student number (1 point). Please follow the file name convention: Course-Section-M2-Prog-Exer-Student Number (e.g. DS100-2-A10-M2-Prog-Exer- 2020114901) Final Note: The total points based on the rubrics above is 20 points. Deductions will be given if there are errors in the Jupyter Notebook. Submit also the Excel/CSV file you have used in your code. Submit also a screen/video recording of you doing the programming exercise. The recording should not exceed 30 minutes. Upload the recording to a cloud storage drive (or on Youtube) and share the link. Submission of the data set and screen recording will be for 20 points. Deductions will be given if you will not submit these items.