This week's submission for #PydyTuesday. Missed ggplot slot when trying to make this plot

Code here: pgdatavizandstats.netlify.app/data_visuali...

#rstats | #python | #dataviz | #TidyTuesday

My submission for #PydyTuesday. A quick jaunt back to Python and some Violin plots

Code here: pgdatavizandstats.netlify.app/data_visuali...

#rstats | #python | #dataviz | #TidyTuesday

Anyone here better with the ggsankey package than I am? - I am trying to label the flow with the number of people transitioning through each stage. I have found no examples on the internet of labeling the flow (plenty labeling the nodes).

I have below what I need to try

#rstats #dataviz #ggplot2

Looked at the percentage of Oxbridge educated people who have won various British Literary Prizes for #TidyTuesday. I used ggbrick and, as the bricks of look like books, tried to make it look like they were in bookshelves with meh results.

Code here: tinyurl.com/bddsuuc3

#rstats | #dataviz

As a Welshman, taking the opportunity to ignore the English and focus only on Wales for #TidyTuesday. Looking at the average weather for Wales in 2024 and now I've made myself homesick.

Code here: pgdatavizandstats.netlify.app/data_visuali...

#rstats | #dataviz

It's Monday which mean my chaotic self is submitting last weeks #TidyTuesday. I chose to look at water access as most people had looked at food in much nicer ways than me.

Code here: pgdatavizandstats.netlify.app/data_visuali...

#rstats | #dataviz

Holiday and job-hunting sucking my soul mean I am a week behind and needed to do a(nother) rush job for #TidyTuesday. I have been playing with Reactable though

Code here: pgdatavizandstats.netlify.app/data_visuali...

#rstats | #dataviz

Tried the datapasta package out, which is a form of minor miracle to get the country codes for the players.

Managed to crack a map of grandmasters per country before flying home to the UK for a break

Code here:

pgdatavizandstats.netlify.app/data_visuali...

#dataviz | #rstats | #tidytuesday

#TidyTuesday attempt for this week.

#rstats | #dataviz

Code here:

pgdatavizandstats.netlify.app/data_visuali...

Missed last week's #TidyTuesday / #pydyTuesday due to work/toddler commitments but I'm ahead for this one. Such is life

Tried making a dashboard in python Whoever coded #streamlit is a genius

Dashboard here

tidytuespassportdashboard.streamlit.app

Code here

pgdatavizandstats.netlify.app/datavis

For #TidyTuesday / #PydyTuesday I have struggled with the port of patchwork over to python. If anyone has any ideas on how to fix the titles of the graphs, I'm all ears.

Also Plotnine is a minor miracle.

Code Here:
pgdatavizandstats.netlify.app/data_visuali...

#dataviz | #python

(Reposted because I can't spell) Back to the warm blanket that is ggplot2 for #TidyTuesday.

A Sankey diagram of how the classifications of Scottish Munros have changed over time

#rstats | #dataviz | #ggplot2

Code here:

pgdatavizandstats.netlify.app/data_visuali...

Another #TidyTuesday / #PyDytuesday another week of thinking that making graphs in Python just isn't as nice as it is in R (Skill issue, I know)

Code here:
pgdatavizandstats.netlify.app/data_visuali...

#dataviz | #python

I've been cursing out my Propensity Score Matching project all week at work so a very brief #TldyTuesday and #PyDyTuesday. If I have time I'll try and do a better job.

Code here: pgdatavizandstats.netlify.app/data_visuali...

#python | #dataviz | #rstats

Created an Interactive map with Folium of all the New York MTA artworks for #TIdyTuesday and #PyDyTuesday

#python | #dataviz | #gis

Code here: pgdatavizandstats.netlify.app/data_visuali...

Back to ggplot2 because I was in a rush. British Library Funding

Significant downturn in funding post 2010. As prospective employers may see this one day, I don't speculate on the reason.

code here: pgdatavizandstats.netlify.app/data_visuali...

#RStats | #TidyTuesday | #DataViz

Anyway, tried something a bit more advanced this week, building a Model in Python to predict petrol (Americans it's a liquid - your name is stupid) prices.

Borrowed heavily from here shorturl.at/3q1BR

code here: pgdatavizandstats.netlify.app/data_visuali...

#Python | #TidyTuesday | #PyDayTuesday