STEP 1. Please read the posts for Week 12. STEP 2. Download and install Python on your personal…

STEP 1. Please read the posts for Week 12.

STEP 2. Download and install Python on your personal computer.

STEP 3. Download and install Visual Code on your personal computer.

STEP 4. Create a folder A12_YourLastName (i.e., A12_Pangelinan).

STEP 5. Create all the following Python files in your folder:


STEP 6. Download the following files to your folder:

1. data-01.csv Download data-01.csv
2. white_house_2017_salaries.csv Download white_house_2017_salaries.csv
3. university_rankings.csv Download university_rankings.csv

STEP 7. (20 points)

1. In your source code, import csv, which will assist in parsing your file, data-01.csv.
2. Open the file and read each row.
3. Print each row to the terminal.

STEP 8. (20 points)

1. Install pandas by using pip install.
2. Open the file, data-01.csv, and read each row using pandas.
3. Print each row to the terminal.

STEP 9. (20 points)

1. Import pandas as pd.
2. Create a dictionary of series below
d = {‘Name’:pd.Series([‘Tom’,’James’,’Ricky’,’Vin’,’Steve’,’Smith’,’Jack’,
3. Create a DataFrame named df.
4. Print the DataFrame.

STEP 10. (50 points)

1. Import pandas as pd.
2. Read the Salaries file, white_house_2017_salaries.csv, as a DataFrame called sal.
3. Print DataFrame head (first two rows). Include heading, “DATAFRAME HEAD”.
4. Print DataFrame info. Include heading, “DATAFRAME INFORMATION”.
5. Print the average salary. Include string, “AVERAGE SALARY = “.
6. Print the maximum salary. Include string, “MAXIMUM SALARY = “.
7. Print the minimum salary. Include string, “MINIMUM SALARY = “.
8. Print the Dino L. LaVerghetta’s position. Include heading, “DINO LAVERGHETTA’S POSITION TITLE”.
9. Print all the data items for Monica J. Block. Include heading, “MONICA BLOCK’S DATA ITEMS”.
10. Print the least paid employees. Include heading, “LEAST PAID EMPLOYEE(S)”.
11. Print the total number of positions. Include heading, “NUMBER OF POSITIONS”.
12. Print the Top 3 most common positions. Include heading, “TOP 3 POSITIONS”.
13. Print the sum of positions that contain the word, “Assistant”. Include heading, “SUM OF POSITIONS CONTAINING THE WORD, ASSISTANT”.

STEP 11. (40 points)

1. Import pandas as pd.
2. Read the University Rankings file, university_rankings.csv, as a DataFrame called rank.
3. Print DataFrame head (first two rows). Include heading, “DATAFRAME HEAD”.
4. Print DataFrame info. Include heading, “DATAFRAME INFORMATION”.
5. Print the number of ranked USA colleges/universities in 2014. Include heading, “NUMBER OF RANKED USA COLLEGES/UNIVERSITIES IN 2014”.
6. Print the Top 10 ranked JAPAN colleges/universities in 2015. Include heading, “TOP 10 JAPAN COLLEGES/UNIVERSITIES IN 2015”.

STEP 12. Compress your folder into a zip file and upload it to this assignment.

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