Here are the best data visualization projects of 2020. https://t.co/0cHIFof4ns
— Nathan Yau (@flowingdata) December 24, 2020
Here are the best data visualization projects of 2020. https://t.co/0cHIFof4ns
— Nathan Yau (@flowingdata) December 24, 2020
"Top 10 Python libraries of 2020": Really love @tryolabs yearly reviews & lists. https://t.co/ChGTTYO087
— Sebastian Raschka (@rasbt) December 22, 2020
HiPlot sounds like something I want to check out. A tool for discovering correlations and patterns in high-dimensional data using parallel plots pic.twitter.com/27lgEeUShh
“Deaths per week: 2020 vs. previous 5 years” insightful way of visualizing COVID19 deaths. Also a way to show how well New Zealand has managed! Source: https://t.co/ODKRfV2f6k pic.twitter.com/JMo3cpKYsU
— Simon Kuestenmacher (@simongerman600) December 20, 2020
Time that fathers and mothers spend with their children, select countries (1965-2010). #parenting #dataviz
— Randy Olson (@randal_olson) December 14, 2020
Source: https://t.co/12FvF2K5S1 pic.twitter.com/8Eank5zhH9
Some visuals stick more than others. This one visualizes the death toll of COVID19 in the US by stacking up virtual coffins behind the White House. Source: https://t.co/tf9XDhqMuN pic.twitter.com/uIJTn6zy05
— Simon Kuestenmacher (@simongerman600) December 9, 2020
This chart shows how many leaders the Queen saw coming and going. While this is simply meant to show just how long the Queen has reigned for all I can think of that it's crazy to have unelected officials in the first place. Source: https://t.co/5hFWXIOJOz pic.twitter.com/6rfv7eQLXM
— Simon Kuestenmacher (@simongerman600) December 6, 2020
Released 0.1 tensor-sensor via pip, now supports JAX from @froystig, @SingularMattrix, @cdleary, et al at @GoogleAI in addition to @TensorFlow, @PyTorch, @numpy. TensorSensor clarifies exceptions by augmenting messages + visualizing Python code to indicate shape of tensor vars. pic.twitter.com/ckuB9F2bFT
— Terence Parr (@the_antlr_guy) December 3, 2020
Custom Google Analytics Dashboards with R: Downloading Data
— RStudio (@rstudio) November 27, 2020
A step by step guide for connecting your RStudio project to Google Analytics' API.
This is part 1 of 3 articles on working with Google Analytics in RStudio. https://t.co/3T3q8WvjIf pic.twitter.com/2VZ7TJdx44
President Trump lost 91 of the 100 largest counties by population, four more than in 2016, as the nation’s economic divisions mirror its political divisions https://t.co/2HxCvgduUl via @WSJ pic.twitter.com/qI9QuennGk
— WSJ Graphics (@WSJGraphics) November 25, 2020
I know we know this.... but researching for a demog presso I'm doing, i stumbled across this, and its as extraordinary as as boasts. pic.twitter.com/mLZaBvkoaA
— George Magnus (@georgemagnus1) November 24, 2020
The US Presidential Election results from 2020 presented as a cartogram by @geoviews. A nice way of showing the rural / urban divide. The central states tend to have a blue core surrounded by a red ring. Source: https://t.co/pQ2ZO3fW1X pic.twitter.com/zHy376iz7j
— Simon Kuestenmacher (@simongerman600) November 23, 2020
This animation of the NBA's scoring pattern over the years reminded me of the growth pattern of Australian cities before COVID: Lots of growth in the outer suburbs and in the city centre but a "missing middle". Source: https://t.co/UXANoO0ahA pic.twitter.com/X2MSPSKvwi
— Simon Kuestenmacher (@simongerman600) November 19, 2020