Here is a collection of my data viz inspirations and attempts on the weekly data source from TidyTuesday.
Taken from R For Data Science TidyTuesday
TidyTuesday is a weekly data project activity aimed mainly at the R ecosystem. The project was borne out of the R4DS Online Learning Community and the R for Data Science textbook, with an emphasis on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem.
The NASA GISS Surface Tempearture Analysis estimates global surface temperature change. The estimates combine land-surface, air and sea-surface water temperature anomalies (Land-Ocean Temperature Index, L-OTI).
Since early 1980s, the average annual temperature has increased continually.
Also, recreation with animation of the iconic 'warming stripes' visualisation by climatologist Ed Hawkins
London Marathon Winners 🏃♀️ 🏃♂️
Countries including Kenya and the UK have the most winners in the past London Marathon events across multiple categories.
Public history cast in metal, carved on stone, or embedded in resin. On record most historical plaques have been put on the east coast states especially those related to freedom and civil rights.
Which places still observe Daylight Saving time in 2023? Most European countries and states in English-speaking countries in North America and Oceania do.
Numbat is regarded as an endangered species in Oz. The data here shows the sightings of the animal since 2010. Over years numbats are spotten more often in the warmer months in Australia.
Different colours used over the seasons of the show in animation
All unique colours used across all 31 seasons of the show
Fluctuation in stock prices over years
Ranking by Stock Price over years
