Hi, I’m Oktay Ekici. I work as Human Resources Manager in Turkapital Holding and the group of companies.I’m actually interested in HR data to make HR analysis such as Employee Churn Prediction and visualizing data http://rmarkdown.rstudio.com.
For sharing data visuals online, it is easier to use client-side web browsers like HTML, Javascript or CSS that run R in the backgroung.
nteractive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript.
In this post I have reviewed some of the most common interactive visualization packages in R with simple example plots along with some comments and experiences. Here are the packages included:
ggplot2 – one of the best static visualization packages in R ggvis – interactive plots from the makers of ggplot2 rCharts – R interface to multiple javascript charting libraries plotly – convert ggplot2 figures to interactive plots easily googleVis – use Google Chart Tools from R
click to read more https://www.r-bloggers.com/interactive-visualizations-with-r-a-minireview/
Based on an interesting dataset from the Wall Street Journal I made the above visualization of the median starting salary for US college graduates from different undergraduate institutions (I have also looked at the mid-career salaries, and the salary increase, but more on that later). However, I thought that it would be a lot more informative, if it were interactive. To the very least I wanted to be able to see the school names when hovering over or clicking on the points with the mouse.
click to read more https://www.r-bloggers.com/salaries-by-alma-mater-an-interactive-visualization-with-r-and-plotly/
click to read more https://www.r-bloggers.com/6-benefits-of-learning-tableau-a-bi-tool-for-interactive-visualization/