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Learn how to draw valuable business insights and visualizations from data. There's ~1.1M rows!

R 32.51% JavaScript 67.49%
r sales csv-files csv-import rstudio shiny-r shinyjs data-science data data-analysis

salesly's Introduction

πŸ“Š Salesly πŸ“Š

Turn a static html site into a Shiny R App equipped with a fully customizable JS front-end. Easily join your project to a cloud-based/locally hosted dataset to complete the tasks.

About

Learn how to draw valuable business insights and visualizations from data. Based on the lesson learn which types of statistics or visualizations can be most valuable. Majority of these sets contain ~1.1M rows!

Prerequisites

  1. Knowing how to code in R is kind of important.

  2. Knowing how to code in Javascript would certainly help.

  3. You must have R installed on your hard drive. Use the appropriate mirror based on your equipment/preference. Follow all instructions. Get started here: https://cran.r-project.org/mirrors.html.

  4. It would be a great idea to have RStudio installed on your machine as well. Follow all of the steps here: https://rstudio.com/products/rstudio/download/#download

  5. You must make sure all of your app.R dependencies are loaded.

  6. Follow the basic lesson plans, and enjoyπŸ“ˆ!

Installing

$ npm install -g salesly

Usage

--version           print salesly version and exit

Example

Modules

Support

If you have an issue feel free to throw it in - https://github.com/Gilb03/salesly/issues

salesly's People

Contributors

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Watchers

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