*PYTHON COURSE* Can someone please help me answer this question for my class. I will 100% like you solving my answering. Thank you so much!!!!

- Part 3: People Execute the cell below to read in the CSV file. eople_0 - pd. DataFrame({ 'Attribute': ["Age", "height", "Age", "height", "Age", "height"], 'value': [20, 5.5, 19, 5.4, 19, 5.9]}, index-['Jane", "Jane", "Mi) People 0.index.name - 'Name' >eople o (11 pts] Problem 7 Now add code to the cell below so that the each person is one row, with the Name as the row index, and Age and Height are labels of the column index. Do not modify the original data frame, but rather create a copy named people_1. 41 cell hidden (11 pts] Problem 8 Now add code to the cell below to remove all rows that have any missing values. Assign the new data frame to people_2. Do not modify the previous frame [ ] 47 cell hidden (11 pts] Problem 9 Add code to the cell below so that the resulting frame is as shown: count mean std min 25% 50% 75% max Attribute Age 2.0 19.50 0.707107 19.0 19.250 19.50 19.750 20.0 Height 2.0 5.45 0.070711 5.4 5.425 5.45 5.475 5.5 Hint: If you unstack a frame with only a one level index, it turns into a series. 4 1 cell hidden - Part 3: People Execute the cell below to read in the CSV file. eople_0 - pd. DataFrame({ 'Attribute': ["Age", "height", "Age", "height", "Age", "height"], 'value': [20, 5.5, 19, 5.4, 19, 5.9]}, index-['Jane", "Jane", "Mi) People 0.index.name - 'Name' >eople o (11 pts] Problem 7 Now add code to the cell below so that the each person is one row, with the Name as the row index, and Age and Height are labels of the column index. Do not modify the original data frame, but rather create a copy named people_1. 41 cell hidden (11 pts] Problem 8 Now add code to the cell below to remove all rows that have any missing values. Assign the new data frame to people_2. Do not modify the previous frame [ ] 47 cell hidden (11 pts] Problem 9 Add code to the cell below so that the resulting frame is as shown: count mean std min 25% 50% 75% max Attribute Age 2.0 19.50 0.707107 19.0 19.250 19.50 19.750 20.0 Height 2.0 5.45 0.070711 5.4 5.425 5.45 5.475 5.5 Hint: If you unstack a frame with only a one level index, it turns into a series. 4 1 cell hidden