Answer Happy

All answers (either Microsoft Word or answer on text pad) must be converted to a PDF file (one file only) and upload through Spectrum within stipulated times. The lecturer has the right not to accept the submission of plagiarized work either from internet or amongst peers. . 1. Bin the age variable using the bins for below 28, 28-65, and over 65. Create a bar chart and normalized bar chart of the binned age variable with response overlay. Work with bank_marketing_training data set for this question. 2. For the following questions, work with the cereals data set. Here example to load data csv in Spyder: cereals = pd.read_csv("C:/.../cereals.csv") cereals = pd.read_csv("C:/Users/Soon SV/Desktop/DSPR_Data_Sets/cereals.csv") a) Create a bar graph of the Manuf variable with Type overlay. b) Create a contingency table of Manuf and Type. c) Create normalized histogram of Calories with Manuf overlay. d) Bin the Calories variable using bins for 0-90, 90-110, and over 110 calories. Create a normalized bar chart of the binned calories variable with Manuf overlay.