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Using RSQLite and Shiny Applications to Solve Business Problems In-Person

This session will be offered via NYU Zoom:   https://nyu.zoom.com.cn/j/99821577936

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Related LibGuide: Quantitative Analysis Guide by Denis Rubin

Date:
Wednesday, November 18, 2020
Time:
7:00pm - 8:30pm
Time Zone:
Eastern Time - US & Canada (change)
Libraries:
Remote
Audience:
  Faculty, PostDocs, Researchers, Grad Students     Students, Faculty, Staff & Community Members  
Type:
  Data Services classes  
Registration has closed.

This workshop is designed to present a real-life business case where a one-stop-shop application bridges the gaps along the operations line from the back-end to the business sides. With R database management packages and Shiny applications, this workshop will walk you through the steps to create such an application.

Skills Taught / Learning Outcomes: 

  • Building a one-stop-shop to handle requests arising from real-life business scenarios, including database query, analytics, visualizations, interactive dashboards, and other ad hoc requests
  • Learning to connect to database management systems and database query with relevant R packages
  • Creating and deploying Shiny applications to solve business problems

Participants will be making an application that resembles this business intelligence dashboard.

Before the class:

Please install the following packages for this session.

install.packages(c('DT','leaflet','RSQLite','scales','shiny','shinyjs','shinythemes','shinyWidgets','tidyverse','plotly','ggplot2','forecast','maps'))

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