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As I am in the intro class, please don't use panda or another fancy coding. Filename: suffrage.py Also submit: A screenshot (or download) of your
As I am in the intro class, please don't use panda or another fancy coding.
Filename: suffrage.py Also submit: A screenshot (or download) of your plot Input files: Download 1920 women voters.csv and save it in the same directory as your suffrage.py file For this problem, we're looking at voter registration data from 1920 Boston - the year the 19th amendment passed and women gained the right to vote. I'm interested in the ages of women who registered to vote that year... was it a surge of young people going to the polls? Older women who had been fighting for this right? Or was there an even distribution across age groups? Let's find out! Each line in the file represents one female voter. The voter's age is in position 10. Create a list of all ages (a list of ints), which you update each time you read a line from the file. We don't have age data for everyone, so if that column is empty for a given line, you can simply skip over that voter. Create a bar chart showing the number of women from the file in their 20s,30s,40s,50s, and 60-plus; each bar representing one of the age ranges. As always, we expect your plot to have labels and titles, and to be clear and informative for the user
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