Tidy Tuesday 03/12/2019 Philadelphia Parking Violations
Data description From From TidyTuesdays github: This week’s data is from Open Data Philly - there is over 1 GB of data, but I have filtered it down to &...
Posts by Category
Tidy Tuesday
Tidy Tuesday 12/11/2019 Code in CRAN Packages
Data description From From TidyTuesdays github: This week’s data is from the CRAN courtesy of Phillip Massicotte. He analyzed the lines of code and t...
Tidy Tuesday 05/11/2019 Modes Less Traveled - Bicycling and Walking to Work in the United States: 2008-2012
Data description From From TidyTuesdays github: This week’s data is from the ACS Survey. The article and underlying data can be found at the Census Webs...
Tidy Tuesday 29/10/2019 NYC Squirrel Census
Data description From From TidyTuesdays github: This week’s data is from the NYC Squirrel Census - raw data at NY Data portal. H/t to Sara Stoudt for...
Tidy Tuesday 22/10/2019 Horror Movies Metadata
Data description From From TidyTuesdays github: This week’s data is from the IMDB by way of Kaggle. H/t to Georgios Karamanis for sharing the data th...
Tidy Tuesday 15/10/2019 Big Mtcars
Data description From From TidyTuesdays github: This week’s data is from the EPA. The full data dictionary can be found at fueleconomy.gov. It’s es...
Tidy Tuesday 08/10/2019 International Powerlifiting
Data description From From TidyTuesdays github: This week’s data is from Open Powerlifting. Wikipedia has many details around the sport itself, as well ...
Tidy Tuesday 10/09/2019 Amusement Park
Data description From From TidyTuesdays github: This week’s data is from data.world and the Safer Parks database. A lot of free text this week, som...
Tidy Tuesday 03/09/2019 Moore’s Law
Data description From From TidyTuesdays github: This week’s data is from Wikipedia - by way of the Data Is Beautiful Subreddit. Additional info and...
Tidy Tuesday 27/08/2019 Simpsons Guest Stars
Data description From From TidyTuesdays github: This week’s data is from Wikipedia, by way of Andrew Collier. Import data and packages library(tidyve...
Tidy Tuesday 20/08/2019 Nuclear Explosions
Data description From From TidyTuesdays github: This week’s data is from Stockholm International Peace Research Institute, by way of data is plural with...
Tidy Tuesday 13/08/2019 Roman Emperors
Data description From From TidyTuesdays github: Information about Roman emperors such as their birth date and place, reign start and end, death cause an...
Tidy Tuesday 06/08/2019 Painting by Numbers
Data description From TidyTuesdays github: Each of the columns after episode/title correspond to the binary presence (0 or 1) of that element in the pain...
Makeover Monday
Makeover Monday 04/11/2019 Las Vegas Convention Attendance & Visitor Traffic
2019/W45: Las Vegas Convention Attendance & Visitor Traffic Data from here Interactive plot Load packages and import data import pandas as pd impo...
Makeover Monday 28/10/2019 World Cities Ranked by Annual Sunshine Hours
Week 44 World Cities Ranked by Annual Sunshine Hours Data from here Load packages and import data import pandas as pd import altair as alt df = pd.read_...
Makeover Monday 21/10/2019 The age at which most people are dying by suicide
Data description Week 43 of Makeover Monday in 2019. Number of people dying by suicide by single year of age, England and Wales, deaths registered betwe...
Storytelling with data
Storytelling with data 10/2019 Improve this table
My first Storytelling with data challenge. From October 2019. Data description From From Storytelling with data: Import packages library(tidyverse) lib...