Data Visualization Website with Shiny

March 25, 2018
By

(This article was first published on R tutorial for Spatial Statistics, and kindly contributed to R-bloggers)

My second Shiny app is dedicated to data visualization.
Here users can simply upload any csv or txt file and create several plots:

  • Histograms (with option for faceting)
  • Barchart (with error bars, and option for color with dodging and faceting)
  • BoxPlots (with option for faceting)
  • Scatterplots (with options for color, size and faceting)
  • TimeSeries
  • Error bars in barcharts are computed with the mean_se function in ggplot2, which computes error bars as mean ± standard error. When the color option is set, barcharts are plotted one next to the other for each color (option dodging).
    For scatterplots, if the option for faceting is provided each plot will include a linear regression lines.
    Some examples are below:

    For the time being there is no option for saving plots, apart from saving the image from the screen. However, I would like to implement an option to have plots in tiff at 300dpi, but all the code I tried so far did not work. I will keep trying.
    The app can be accessed here: https://fveronesi.shinyapps.io/DataViz/
    The R code is available here: https://github.com/fveronesi/Shiny_DataViz

    To leave a comment for the author, please follow the link and comment on their blog: R tutorial for Spatial Statistics.

    R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



    If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

    Comments are closed.

    Search R-bloggers

    Sponsors

    Never miss an update!
    Subscribe to R-bloggers to receive
    e-mails with the latest R posts.
    (You will not see this message again.)

    Click here to close (This popup will not appear again)