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Shiny App for interactive data display, analysis and scatterplot visualization

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pandurang-kolekar/Interactive-Statistics

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date title author tags
2015-03-17
Interactive Statistics using Shiny apps
Pandurang Kolekar
R
Shiny

Interactive-Statistics

Shiny App for interactive data display, analysis and scatter plot visualization

Description

The app is developed using following R packages

  1. shiny : A new way to build web applications in R
  2. htmlwidgets: JavaScript data visualization to R
  3. DT: JavaScript/D3 chart library for htmlwidget
  4. metricsgraphics: JavaScript/DataTables library for htmlwidget

Usage

  1. The app can be accessed online from Shinyapps.io cloud
  2. Install the packages mentioned in description section. Download ui.R and server.R files in a folder and run through R Studio.

Sample input files

  1. testIris.csv
  2. testMtcars.csv

Future Development

  1. Development of customized apps for different types of data analysis and visualization
  • Visualizations:
    • Line plot, Bar graphs, etc.
    • Time series data chart
    • Network
    • 3D scatter plot
    • etc.
  • Statistical analysis:
    • t-tests (single-sample, independent sample, paired)
    • one-/multi-way ANOVA
    • Clustering (k-means, hierarchical)
    • Principal component analysis
    • etc.
  1. Hosting/Sharing the apps

About the author

Completed PhD in Bioinformatics from Bioinformatics Centre, University of Pune, Pune, India. I developed a statistical algorithm for alignment-free sequence analysis with its applications in molecular phylogeny, clustering and sero/genotyping as part of my doctoral thesis.

Currently working as Bioinformatics Engineer III cum Data Scientist at Strand Life Sciences Pvt Ltd, leading Indian Bioinformatics company located at Bengaluru.

Find more about me from

Contact

For suggestions and queries shoot me email at [email protected]

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