Not logged in
Talk
Contributions
Create account
Log in
Navigation
Main page
About
People
Publications
Teaching
Resources
Research Blog
Wiki Functions
Recent changes
Help
Licensing
Page
Discussion
Edit
View history
Editing
Intro to Programming and Data Science (Summer 2020)/Day 5 Coding Challenges
From CommunityData
Jump to:
navigation
,
search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Python for Everybody == Chapter 9: * Exercise 2: Naomi * Exercise 3: Ji-young * Exercises 4-5* Chapter 10: * Exercise 1: Tiwalade * Exercise 2: Nate * Exercise 3* == Baby Name Challenges == Download the [https://github.com/CommunityDataScienceCollective/babynames-cdsw/archive/master.zip baby names data and code]. We will go through the Jupyter Notebook file in class. Once we understand what is is doing, you can use it as a springboard to write programs that do each of the following: # Search for your own name. Are there both boys and girls that have your name? Is it more popular for one group than for the other? #* Carly # What is the most common name for each gender? #* Jessie # What is the least common name? #* Vanessa # How often does the least common name occur? (Does that concern you?) #* Tamara # Are there more boys names or girls names? # What is the longest name in the dataset? # How many boys and girls names are described in the dataset (i.e., how unique boy names and unique girl names are there)? # How many boys names are also girls names? How many girls names are also boys names? #* Zhaozhe # What is the most popular girl name that is also a boy name? #* Yihan === Above and beyond === # Write a function that takes a prefix as input and prints the number of boys and girls with that prefix (e.g., get_names("m") would list all names that start with "m" and get_names("ma") would only list those that start with "ma"). #* Jeremy # Plot (in Excel) the number of people who share a name with n other people in the data set, where n is 4 to 19. # Reuse and modify the code at the end of [https://raw.githubusercontent.com/jdfoote/Intro-to-Programming-and-Data-Science/master/summer-2020//week_5_exercises.ipynb today's notebook] so that it prints a dictionary of the total population of cities that start with each letter of the alphabet.
Summary:
Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see
CommunityData:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:
Cancel
Editing help
(opens in new window)
Tools
What links here
Related changes
Special pages
Page information