DS4UX (Spring 2016)/Day 3 coding challenge: Difference between revisions

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Each of the challenges this week will ask you to modify and work with code in the [[Wordplay]] project which you should have installed and begun working with in class.
Each of the challenges this week will ask you to modify and work with code in the [[DS4UX_(Spring_2016)/Baby_Names|Baby Names]] dataset which you should have installed and begun working with in class.


As always, it's not essential that you solve or get through all of these — I'm not grading your answers on these. That said, being able to work through at least many of them is a good sign that you have mastered the concepts for the week. It is always fine to collaborate or work together on these problem sets. The only thing I ask is that you do not broadcast answers before Sunday at midnight on Canvas.
As always, it's not essential that you solve or get through all of these — I'm not grading your answers on these. That said, being ''able to'' work through at least many of them is a good sign that you have mastered the concepts for the week. It is always fine to collaborate or work together on these problem sets.


== Challenges ==
== Challenges ==


Challenges about finding words:
# Are there more boy names or girl names? What about for particular first letters? What about for ''every'' first letter?
# How many babies are in the dataset (assuming nobody is counted more than once)?
# What is the longest name in the dataset?
# How many boy names are also girl names? How many girls' names are also boys' names?
# How many names are subsets of other names?
# What is the most popular girl name that is also a boy name?
# Write a program that will take a name as input and return the number of babies with that name in the girl and boy datasets.
# Take a prefix as input and print the number of babies with that prefix in each dataset (i.e., "m" would list babies whose names start with "m" and "ma" would list babies whose names start with "ma", etc).
# Which boy and girl names are the most popular across all four years in our dataset? (hint: to solve this challenge, you will need to edit <tt>ssadata.py</tt>)
# Which boy and girl names have increased most in popularity between 2010 and 2013? Which ones have declined most in popularity?


# Find all words that start with 'a' and are 9 or more letters long.
# What is the longest word that starts with a 'q'?
# Find all words that end with 'nge'
# You need a word that matches "a*ey" (here "*" means any letter). Are there any words that match?
# Print every other word that matches the condition in (1) above.
# Find the longest string where no character is used > 1 time.


Now we're going to start finding points! You can use scrabble.scores to get the scores for every letter. But we're going to cheat: assume you have all the letters.
=== Solutions ===
 
<big>'''[http://jtmorgan.net/ds4ux/week3/babynames-solutions.zip Click here to download the solutions to this week's coding challenges]'''</big>
# What is the most valuable word in the dictionary, and how much is it worth?
# You want to match a word that starts with an 'a', has an 'e' in the 4th slot, and is no more than 7 characters long. What is the best word you can play?
# Make a list that shows the most valuable word that starts with each letter. Example:
 
a: apophthegmatize, 37
c: chiquichiquis, 41
b: bezzazzes, 47
e: embezzlements, 37
d: decitizenizing, 36
.....


[[Category:DS4UX (Spring 2016)]]
[[Category:DS4UX (Spring 2016)]]

Latest revision as of 02:29, 18 April 2016

Each of the challenges this week will ask you to modify and work with code in the Baby Names dataset which you should have installed and begun working with in class.

As always, it's not essential that you solve or get through all of these — I'm not grading your answers on these. That said, being able to work through at least many of them is a good sign that you have mastered the concepts for the week. It is always fine to collaborate or work together on these problem sets.

Challenges[edit]

  1. Are there more boy names or girl names? What about for particular first letters? What about for every first letter?
  2. How many babies are in the dataset (assuming nobody is counted more than once)?
  3. What is the longest name in the dataset?
  4. How many boy names are also girl names? How many girls' names are also boys' names?
  5. How many names are subsets of other names?
  6. What is the most popular girl name that is also a boy name?
  7. Write a program that will take a name as input and return the number of babies with that name in the girl and boy datasets.
  8. Take a prefix as input and print the number of babies with that prefix in each dataset (i.e., "m" would list babies whose names start with "m" and "ma" would list babies whose names start with "ma", etc).
  9. Which boy and girl names are the most popular across all four years in our dataset? (hint: to solve this challenge, you will need to edit ssadata.py)
  10. Which boy and girl names have increased most in popularity between 2010 and 2013? Which ones have declined most in popularity?


Solutions[edit]

Click here to download the solutions to this week's coding challenges