Publications by Tianchen Yu
Reproducible Research Project 2
Analysis of the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database This project explores the NOAA storm database, which tracks major storms and weather events, to address the most severe types of weather events in the USA, which caused greatest damage to human population in terms of fatalities/injuries and economic lo...
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Reproducible Research Project 1
Introduction It is now possible to collect a large amount of data about personal movement using activity monitoring devices such as a Fitbit, Nike Fuelband, or Jawbone Up. These type of devices are part of the “quantified self” movement – a group of enthusiasts who take measurements about themselves regularly to improve their health, to fin...
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DSCapstoneFinalProjPresentation
Word PredictionHONAKAYUMarch 24, 2021 Submitted in partial fulfillment of the requirements of the Coursera course, “Data Science Capstone”. Demonstration: https://honakayu.shinyapps.io/DSCapstoneFinalProj/?_ga=2.253285184.879077572.1616590725-345289447.1616590725 Source Code: https://github.com/HONOKAYU/Data-Science-Capstone-Final-Project D...
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Analysis of the mtcars Dataset
Analysis of the mtcars Dataset Variables and MPG HONAKAYU 9-March-2021 Coursera Reproducible Pitch See the Regression Models Course Project URL: https://github.com/HONOKAYU/Week-4 Find here all the data that have been use for this presentation and also for the first part of the data Science Project: “First, you will create a Shiny applicati...
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Plotly Presentation Slides
9-March-2021 Simple plotly example - mtcars dataset This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the out...
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wk2 MilestoneReport
1 Introduction This report includes the progress made for the Data Science Specialization Capstone Project. The goal of this project is to build a predictive text model by using texts from blogs, news sites, and twitter. This report describes and presents the results from loading, cleaning, tokenizing, and exploring the datasets. 2 Loading the D...
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