Python question... Complete without importing any modules. Ie. Don\'t import csv Sample CSV: file.csv containing: first, last, age, height, weight, gender, lives Jake, Cace, 24, 64,165, male, Spain Jenny, Matte, 21, 58, 110, female, Italy Solution def csv(): print(\"CSV Data analysis\") print() fname = \"file.csv\" #inputing file name #Reading the input file into a list with each row as a string with open(fname) as f: input_data = f.read().splitlines() #initialising data data = [] #iterating through the list containing input data and storing each row as a list of floats. print (input_data) for i in range(1, len(input_data)): row_data = [x for x in input_data[i].split(\',\')] data.append(row_data) return data print(csv()).

1. Python question...
Complete without importing any modules. Ie. Don't import csv
Sample CSV:
file.csv containing:
first, last, age, height, weight, gender, lives
Jake, Cace, 24, 64,165, male, Spain
Jenny, Matte, 21, 58, 110, female, Italy
Solution
def csv():
print("CSV Data analysis")
print()
fname = "file.csv" #inputing file name
#Reading the input file into a list with each row as a string
with open(fname) as f:
input_data = f.read().splitlines()
#initialising data
data = []
#iterating through the list containing input data and storing each row as a list of floats.
print (input_data)
for i in range(1, len(input_data)):
row_data = [x for x in input_data[i].split(',')]
data.append(row_data)
return data
print(csv())