Intro to Programming and Data Science (Spring 2020)/Day 4 Coding Challenges: Difference between revisions
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== Python for Everybody == | |||
Chapter 7: Exercises 1, 2, 3 | |||
== Baby Names == | |||
Using the baby names data from [[Community_Data_Science_Course_(Spring_2019)/Day_3_Coding_Challenges|The day 3 challenges]]: | |||
# Get the ratio of names that start with each letter. | # Get the ratio of names that start with each letter. | ||
## Do this for boys and girls. | ## Do this for boys and girls. | ||
## '''Hint''' First line of output | ## '''Hint''' First line of output should be something like: | ||
a: boys: 0.1002914920750592 girls: 0.17587602795796703 | |||
# Are girls or boys more likely to have a name that is used by both genders? | # Are girls or boys more likely to have a name that is used by both genders? | ||
# Figure out how to change the ssadata.py file so that it loads births from 2017 instead of 2018. | |||
== Above and beyond == | |||
# Figure out how to load two years of birth data simultaneously and compare them (e.g., identify the top 20 names from 2017 and figure out how many more/fewer people were named those names in 2018). | |||
Revision as of 17:08, 22 January 2020
Python for Everybody
Chapter 7: Exercises 1, 2, 3
Baby Names
Using the baby names data from The day 3 challenges:
- Get the ratio of names that start with each letter.
- Do this for boys and girls.
- Hint First line of output should be something like:
a: boys: 0.1002914920750592 girls: 0.17587602795796703
- Are girls or boys more likely to have a name that is used by both genders?
- Figure out how to change the ssadata.py file so that it loads births from 2017 instead of 2018.
Above and beyond
- Figure out how to load two years of birth data simultaneously and compare them (e.g., identify the top 20 names from 2017 and figure out how many more/fewer people were named those names in 2018).
