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There is a total of 10 points for 10 tasks in this final project. Your final assignment will be graded by your peers who are

There is a total of 10 points for 10 tasks in this final project. Your final assignment will be graded by your peers who are also completing this assignment within the same session. You need to complete the following and submit your responses for peer review. There is a total of 10 points possible for the final project.

1-Upload the image Task_1_log_function.png. This should show the code for the function `log_progress()` used in the project. (1 point)

2-Upload the image Task_2a_extract.png. This should be the snapshot of the html code obtained by inspecting the table on the webpage. The contents of the first row should be expanded and visible. (1 point)

3-Upload the image Task_2b_extract.png. This should show the code for the function extract() used in the project. (1 point)

4-Upload the image Task_2c_extract.png. This should be the output obtained by executing the function call. (1 point)

5-Upload the image Task_3a_transform.png. This should show the code for the function transform used in the project. (1 point)

6-Upload the image Task_3b_transform.png. This should be the output of the final transformed dataframe. (1 point)

7-Upload the image Task_4_CSV.png. This should be the contents of the CSV file created from the final table. (1 point)

8-Upload the image Task_4_5_save_file.png. This should show the code for both `load_to_csv()` and `load_to_db()` functions used in the project. (1 point)

9-Upload the image Task_6_SQL.png. This should be the output of the SQL queries run on the database table. (1 point)

10-Upload the image Task_7_log_content.png. This should be the contents of the log file code_log.txt. (1 point)

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