We like data.
Hello! I start new type of posts here, called IJL: I Just Learnt. So I'm gonna treat this little blog as a notebook and kind of diary of my proffessional (and also really not proffessional) journey. Yay!
In part 1 I have summarized keynote and its most interresting parts, in part 2 I will summarize some of the session I found most interessting.
April 4th, 5th and 6th 2017, Munich, Germany hosted DataWorks Summit (or as previously called Hadoop Summit). This is a conference organized by Hortonworks and Yahoo. It's about Hadoop, Big Data and Open Source community.
Hello! Till now I was styling the graphs in Photoshop rather than prepare them properly in RStudio (sooo lame, huh?) But I decided it's time to learn how to do it, so here is the little tutorial about making a plot beautiful using only R and plotly package. [type=radio]:checked~label { [type=radio]:checked~label~.content {
Hello! Recently I was asked to create an R program showing one graph and dynamically generating another using the information about mouse position over the first graph. It is not as difficult as I thought, so here's the tutorial.
Hi there! Here we have an Extra Simple, Super Easy tutorial about how to draw graphs in RStudio using ggplot2 package. For the purposes of our playground, we will be using the NASA’s Global Mean Estimates Based on Land-Surface Air Temperature Anomalies (departures from a long-term average) from NASA website (pssst, what are temperature anomalies, and why prefer them to absolute temperatures? Check the last section of this post to find the answers!*). You can download the file with data using THIS LINK.
This is our very first post. So exciting! Such amusement. Wow!