a) Collect the RGB values for three colours Store the data for each colour in separate DataFrame There should be at least 5 readings for each colorat different lighting positions red data pd. DataFrame([1200 50.2021250 3020][235,60 20] [190.00] [200.10 2011 green data pd. DatoFrenetto 255.01 180 200 30135 200 50)[40 258.70] [20 190.2011 bluedotes pd. DateFromecto.O 255)120.50 260][40 50 230][10 30 2001[30.10.19000 b) Add labels and headers to the dataset red data columns (R","6","8") green data.columns (R","6","8"] blue data.columns ("R"6","8") print (red data) ... () You will transform these features into only 2 using the formulas below 1) Feature 1-R-G 2) Feature 2-28-R-O red feature red dot foto) - red data lect) red feature2c2red data 8D-reddelalet. Rred_datele.83 print (red feature) print (red feature 2) 1 a) Collect the RGB values for three colours Store the data for each colour in separate DataFrame There should be at least 5 readings for each colorat different lighting positions red data pd. DataFrame([1200 50.2021250 3020][235,60 20] [190.00] [200.10 2011 green data pd. DatoFrenetto 255.01 180 200 30135 200 50)[40 258.70] [20 190.2011 bluedotes pd. DateFromecto.O 255)120.50 260][40 50 230][10 30 2001[30.10.19000 b) Add labels and headers to the dataset red data columns (R","6","8") green data.columns (R","6","8"] blue data.columns ("R"6","8") print (red data) ... () You will transform these features into only 2 using the formulas below 1) Feature 1-R-G 2) Feature 2-28-R-O red feature red dot foto) - red data lect) red feature2c2red data 8D-reddelalet. Rred_datele.83 print (red feature) print (red feature 2) 1