update READMEs

subreddit-algebra/readme.md

@@ -1,6 +1,6 @@
-### Subreddit Algebra
+# Subreddit Algebra
 
-This directory contains the code and data behind the story: [Dissecting Trump's Most Rabid Online Following](https://fivethirtyeight.com/features/dissecting-trumps-most-rabid-online-following/)
+This directory contains the code and data behind the story [Dissecting Trump's Most Rabid Online Following](https://fivethirtyeight.com/features/dissecting-trumps-most-rabid-online-following/).
 
 The raw data (an online cache of Reddit comments going back to 2005) is from [Google's BigQuery](https://bigquery.cloud.google.com/table/fh-bigquery:reddit_comments.2015_05) and more information about the data can [be found here](https://www.reddit.com/r/bigquery/comments/3cej2b/17_billion_reddit_comments_loaded_on_bigquery/).
 

tarantino/README.md

@@ -1,6 +1,6 @@
-### Curse Words and Deaths in Quentin Tarantino’s Films
+# Tarantino
 
-The raw data behind the story [A Complete Catalog Of Every Time Someone Cursed Or Bled Out In A Quentin Tarantino Movie](http://fivethirtyeight.com/features/complete-catalog-curses-deaths-quentin-tarantino-films)
+This folder contains data behind the story [A Complete Catalog Of Every Time Someone Cursed Or Bled Out In A Quentin Tarantino Movie](http://fivethirtyeight.com/features/complete-catalog-curses-deaths-quentin-tarantino-films).
 
 Header | Definition
 ---|---------

tennis-time/README.md

@@ -1,6 +1,6 @@
-### Tennis Time
+# Tennis Time
 
-The data behind the story [Why Some Tennis Matches Take Forever](http://fivethirtyeight.com/features/why-some-tennis-matches-take-forever).
+This folder contains data behind the story [Why Some Tennis Matches Take Forever](http://fivethirtyeight.com/features/why-some-tennis-matches-take-forever).
 
 `serve_times.csv`
 

tenth-circuit/README.md

@@ -1,6 +1,6 @@
 # Cases in the Tenth Circuit Court of Appeals
 
-The raw data behind the story [For A Trump Nominee, Neil Gorsuch’s Record Is Surprisingly Moderate On Immigration](http://53eig.ht/2nPVCrS)
+This folder contains the data behind the story [For A Trump Nominee, Neil Gorsuch’s Record Is Surprisingly Moderate On Immigration](https://fivethirtyeight.com/features/for-a-trump-nominee-neil-gorsuchs-record-is-surprisingly-moderate-on-immigration)
 
 `tenth-circuit.csv` contains Tenth Circuit cases decided during Gorsuch’s tenure.
 

terrorism/README.md

@@ -1,4 +1,4 @@
-### France Terror Attacks
+# France Terror Attacks
 
 This directory contains data, code and charts behind the story [The Rise Of Religiously Inspired Terrorism In France](http://fivethirtyeight.com/features/the-rise-of-religiously-inspired-terrorism-in-france/).
 

thanksgiving-2015/README.md

@@ -1,4 +1,4 @@
-### Thanksgiving  2015
+# Thanksgiving  2015
 
 This directory contains the data behind the story [Here’s What Your Part of America Eats On Thanksgiving](http://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving).
 

trump-approval-ratings/README.md

@@ -5,7 +5,8 @@ files:
 ---
 # Trump Approval Ratings
 
-This contains the raw data behind "[How Popular is Donald Trump?](https://projects.fivethirtyeight.com/trump-approval-ratings/)"
+This readme contains links to the raw data behind [How Popular is Donald Trump?](https://projects.fivethirtyeight.com/trump-approval-ratings/). For the latest version of this updating data set, visit the links at the top of this README.
 
-* `approval_polllist.csv` - President Trump's approval ratings.
-* `approval_topline.csv` - Trendline for the approval ratings.
+`approval_polllist.csv` contain President Trump's job approval ratings.
+
+`approval_topline.csv` contains a trendline for the approval ratings.

trump-news/README.md

@@ -1,6 +1,6 @@
-### Trump News
+# Trump News
 
-The raw data behind the story [How Trump Hacked The Media](http://fivethirtyeight.com/features/how-donald-trump-hacked-the-media/).
+This folder contains the data behind the story [How Trump Hacked The Media](http://fivethirtyeight.com/features/how-donald-trump-hacked-the-media/).
 
 File | Description
 ---|---------

trump-twitter/README.md

@@ -0,0 +1,3 @@
+# Trump Twitter
+
+This folder contains data behind the story [The World’s Favorite Donald Trump Tweets](https://fivethirtyeight.com/features/the-worlds-favorite-donald-trump-tweets/).

trump-world-trust/README.md

@@ -1,6 +1,6 @@
-### What the world thinks of Trump
+# Trump World Trust
 
-The extracted data behind the story [What The World Thinks Of Trump](https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/).
+This folder contains data behind the story [What The World Thinks Of Trump](https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/).
 
 Two of the datasets concern the share of different countries' populations that:
 

twitter-ratio/README.md

@@ -1,7 +1,9 @@
 # Twitter Ratio
 
-The raw data behind [The Worst Tweeter In Politics Isn’t Trump](https://fivethirtyeight.com/features/the-worst-tweeter-in-politics-isnt-trump/).
+This folder contains data behind the story [The Worst Tweeter In Politics Isn’t Trump](https://fivethirtyeight.com/features/the-worst-tweeter-in-politics-isnt-trump/).
 
-* `senators.csv` contains tweets from all senators collected on Oct. 19 and 20.
-* `BarackObama.csv` contains tweets from [@BarackObama](https://twitter.com/BarackObama) collected on Oct. 20.
-* `realDonaldTrump.csv` contains tweets from [@realDonaldTrump](https://twitter.com/realDonaldTrump) collected on Oct. 23.
+`senators.csv` contains tweets from all senators collected on Oct. 19 and 20.
+
+`BarackObama.csv` contains tweets from [@BarackObama](https://twitter.com/BarackObama) collected on Oct. 20.
+
+`realDonaldTrump.csv` contains tweets from [@realDonaldTrump](https://twitter.com/realDonaldTrump) collected on Oct. 23.

unisex-names/README.md

@@ -1,6 +1,6 @@
-### Unisex Names
+# Unisex Names
 
-This directory contains the code and data behind the story [The Most Common Unisex Names In America: Is Yours One Of Them?](http://fivethirtyeight.com/features/there-are-922-unisex-names-in-america-is-yours-one-of-them)
+This directory contains the code and data behind the story [The Most Common Unisex Names In America: Is Yours One Of Them?](http://fivethirtyeight.com/features/there-are-922-unisex-names-in-america-is-yours-one-of-them).
 
 The script `unisex_names.R` generates the data in `unisex_names_table.csv`, which contains the over 900 names given to each sex at least one-third of the time and with a minimum of 100 people. It has the following variables:
 

us-weather-history/README.md

@@ -1,8 +1,8 @@
-### U.S. weather history visualization
+# U.S. Weather History
 
-The raw data and code behind the story [What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.](http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/)
+This folder contains data and code behind the story [What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.](http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/).
 
-#### Code
+## Code
 
 Code file | Description
 ---|---------
@@ -10,7 +10,7 @@ Code file | Description
 `wunderground_parser.py` | Parses the weather data from Weather Underground into a flat CSV file
 `visualize_weather.py` | Creates the visualization of the weather data
 
-#### Data
+## Data
 
 Column | Description
 ---|---------

weather-check/README.md

@@ -1,16 +1,16 @@
-### Weather Check
+# Weather Check
 
 This directory contains the data behind the story [Where People Go To Check The Weather](http://fivethirtyeight.com/datalab/weather-forecast-news-app-habits).
 
-The source of the data is a Survey Monkey Audience poll commissioned by FiveThirtyEight and conducted from April 6 to April 10, 2015. 
+The source of the data is a Survey Monkey Audience poll commissioned by FiveThirtyEight and conducted from April 6 to April 10, 2015.
 
 Header | Definition
 ---|---------
 `Do you typically check a daily weather report?` | Yes or No
 `How do you typically check the weather?` | "The Weather Channel", "Local TV News", "Radio weather", "Internet search", "The default weather app on your phone", "Newsletter", "Newspaper", "A specific website or app (please provide the answer)
-`A specific website or app (please provide the answer)` | If they responded this value for the second question, they were asked to write-in the app or website they used. 
+`A specific website or app (please provide the answer)` | If they responded this value for the second question, they were asked to write-in the app or website they used.
 `If you had a smartwatch (like the soon to be released Apple Watch), how likely or unlikely would you be to check the weather on that device?` | "Very Likely", "Somewhat Likely", "Somewhat unlikely", "Very unlikely"
 `Age` | 18-29, 30-44, 45-59, 60+
 `What is your gender?` | Female, Male
-`How much total combined money did all members of your HOUSEHOLD earn last year?` | $0 to $9,999, $10,000 to $24,999, $25,000 to $49,999, $50,000 to $74,999, $75,000 to $99,999, $100,000 to $124,000, $125,000 to $149,999, $150,000 to $174,999, $175,000 to $199,999, $200,000+, Prefer not to answer. 
-`US Region` | New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain, Pacific. 
+`How much total combined money did all members of your HOUSEHOLD earn last year?` | $0 to $9,999, $10,000 to $24,999, $25,000 to $49,999, $50,000 to $74,999, $75,000 to $99,999, $100,000 to $124,000, $125,000 to $149,999, $150,000 to $174,999, $175,000 to $199,999, $200,000+, Prefer not to answer.
+`US Region` | New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain, Pacific.

womens-world-cup-predictions/README.md

@@ -1,4 +1,4 @@
-### 2015 Women's World Cup tournament predictions
+# 2015 Women's World Cup tournament predictions
 
 FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.
 

world-cup-predictions/README.md

@@ -1,4 +1,4 @@
-### 2014 World Cup tournament predictions
+# 2014 World Cup Tournament Predictions
 
 FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: `wc-YYYYMMDD-HHMMSS.csv`. All times are in GMT.