The French Ministry for the Ecological and Inclusive Transition (for which I’m currently working) is ongoing a process of opening data related to energy consumption. Each year, we publish data...continue reading.
Last week in Mapping Texas Ports with R [part 1], we created a simple map of Texas ports with R, ggplot2, and geom_sf. That map was really just a “rough...continue reading.
In the last few months since covid-19 has struck, everyone is suddenly talking about supply chains. Just a few months ago, this was sort of a “boring” topic, only discussed...continue reading.
Power BI measures are mainly used to show and visualize data, that can be measured. But from time to time, end-users will want to have measures to be easily selected...continue reading.
One of the most common questions I get from data science students is “should I learn R or Python?” In the last year or so, many of the blog posts...continue reading.
In this blog post, we’ll create a data visualization to analyze covid19 data and visualize successful vs. unsuccessful countries. You’ll see exactly what I mean by that in a minute....continue reading.
Ok … welcome back to this covid19 data analysis series with R. In this series, we’re analyzing covid19 data with the R programming language. So far in this series, we’ve...continue reading.
During the COVID-19 pandemic, it’s apparent that location data gathered by private IT companies and telcos is a primary source … Read More →continue reading.
Welcome back. Hopefully you’ve been following along with our R data analysis series. This tutorial is part of a series of tutorials analyzing covid-19 data with R. So far in...continue reading.
COVID-19 or Coronavirus pandemic has a huge and unpredictable effect on our lives. I wanted to see the speed and spreading of the virus across countries. And the following is...continue reading.
COVID-19 or Coronavirus pandemic is having an unpredictable and huge impact on our lives, so I wanted to see the speed with which it spreads across countries. The following is...continue reading.
Nothing beats the bar plot for fast data exploration and comparison of variable values between different groups, or building a story around how groups of data are composed. The ability...continue reading.
In our recent post about saving R graphics, it became obvious that achieving consistent graphics across platforms or even saving the “correct” graph on a particular OS was challenging. Getting...continue reading.
Sharing some of my favorite data science and data foundation books for young kids!continue reading.
R is known for it’s amazing graphics. Not only ggplot2, but also plotly, and the other dozens of packages at the graphics task view. There seems to be a graph...continue reading.
Power BI support certain type of visuals that are by default available in the document. These are absolutely great and work perfectly fine, have a lot of capabilities to set...continue reading.
A week full of very easy data gathering and visualization activities to do with your young kids!continue reading.
Moça do corpo douradoDo Sol de IpanemaO seu balançadoÉ mais que um poema(Garota de Ipanema, João Gilberto) Sometimes I think about the reasons why I spend so many time doing...continue reading.
Written by Aoife Curran. The purpose of this post isn’t to add new insight into the spread of the Corona Virus – there are plenty of experts out there more...continue reading.
The number of different products and customers in any business area are practically infinite. But how can you find interactions between them like joint purchases and define groups? One solution...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
