Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sheng, Andy | - |
| dc.date.accessioned | 2021-07-13T12:54:53Z | - |
| dc.date.available | 2021-07-13T12:54:53Z | - |
| dc.date.issued | 2021-06-17 | - |
| dc.identifier.uri | http://hdl.handle.net/2451/62798 | - |
| dc.description | Best Paper in Showcase | en |
| dc.description.abstract | The purpose of this project study is developing an analytics case study book using R for NYU MASY program. This project study converts exiting analytics cases which using Excel into R language using commander and direct coding when need so the future student and analytics can use it as a tool to do their work. In this project study, basic techniques like descriptive statistics, 5-point summary, and different charts are covered. Moreover, intermediate and advanced techniques like pareto analysis, timeseries forecast, and multivariate regression also are introduced. By learn outcome from this project, reader will be able to do different analytics work in different scenarios by using R and R commander. | en |
| dc.description.sponsorship | NYU School of Professional Studies MASY Program | en |
| dc.language.iso | en_US | en |
| dc.publisher | NYU School fo Professional Studies | en |
| dc.rights | All Rights Reserved By Author. | en |
| dc.subject | R, RCommander, Analytics, Statistics | en |
| dc.title | Analytic Case Studies in R - Best Paper | en |
| dc.title.alternative | Best Paper in Showcase | en |
| dc.type | Working Paper | en |
| Appears in Collections: | MASY Student Research Showcase 2021 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Andy Sheng - Final Project Repprt - Analytic Case Studies in R.pdf | * BEST PAPER * Abstract The purpose of this project study is developing an analytics case study book using R for NYU MASY program. This project study converts exiting analytics cases which using Excel into R language using commander and direct coding when need so the future student and analytics can use it as a tool to do their work. In this project study, basic techniques like descriptive statistics, 5-point summary, and different charts are covered. Moreover, intermediate and advanced techniques like pareto analysis, timeseries forecast, and multivariate regression also are introduced. By learn outcome from this project, reader will be able to do different analytics work in different scenarios by using R and R commander. | 1.78 MB | Adobe PDF | View/Open |
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