MSDA

Color Palettes

The colors are from WSJ article https://www.wsj.com/articles/the-kavanaugh-effect-political-debates-shake-up-the-workplace-1538949970 I will use the colors extracted from the solid bar at the bottom of the image. How did I do that? I used ColorZilla addon for Firefox: https://addons.mozilla.org/en-US/firefox/addon/colorzilla/ Here are the hex codes for 7 colors I extracted:

Create a color palette from WSJ article wsjPal <- c('#65C1E8', '#D85B63', '#D680AD', '#5C5C5C', '#C0BA80', '#FDC47D', '#EA3B46') Try out a graph using the new color palette

MSDA Final Project Guidelines

Submission guideline You will submit: All code (not applicable if you used only Tableau) Datasets Slides in Powerpoint, Keynote, or HTML (if used) Tableau workbook (if used) All the above files should be zipped and submitted on Blackboard before 10:30 pm on 1013 (i.e., the deadline is 2 days after the last class). The Zip file will have to be named as follows if you are from the day cohort:

Using Rstudio Projects

In this post I will show how to create an Rstudio project and manage it. My main reason for working in such projects is that I am able to manage all my code and content from one single folder on the computer. I also use here package to manage links in the code. For this tutorial you will need RStudio installed on your computer. The operating system doesn’t matter. I am using my MacBook Pro to record the videos.

Homework 3-DA6233

This homework is based on Shiny app. Q1. Create the following 3 Shiny apps. Print a table of first n observations from mpg data set, where n is the number of observations to print. The default value of n will be 6 while users can select a numeric input anywhere between 1 and 20 observations. (3 points) Shiny app is visible here: https://malshe.shinyapps.io/problem_1_1/ Let users select a city from among the five Texan cities and then print “You selected [name of the city]”.

DA 6813 Homework Solution

This note is pretty old. I have modified this note using dplyr package but still plenty of the code is still base R. The original note is available here: http://rpubs.com/malshe/224660. This file is just a small part of the original file. The original homework questions are available here: http://rpubs.com/malshe/224662 library(dplyr) library(here) Get the data in red <- read.csv(here::here("static", "data", "winequality-red.csv"), stringsAsFactors = F) red$wine <- "red" white <- read.csv(here::here("static", "data", "winequality-white.

Homework 2

Q1 A. Using presidential and economics data frames from ggplot2 package, recreate the following graphs. Before you start making the plots, first understand the data sets well. Start with checking the help panel by typing ?presidential and ?economics in the console. This will describe the variables in your data sets. Take a peek at the data using head() Get summary of the variables Note that you DON’T have to include all this in the homework.

Some ggplot2 Features

In this post, I am covering a few things that I didn’t touch upon in the class previously. For this we will use mpg data from ggplot2 package. If you want to know more about the data and the variables, run the following command in your R console: ?ggplot2::mpg Get structure of the mpg data head(mpg) ## # A tibble: 6 x 11 ## manufacturer model displ year cyl trans drv cty hwy fl class ## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> ## 1 audi a4 1.

Extending ggplot2

There are numerous ways in which you can extend ggplot2 package. In this post, I am going to talk about 3 packages that are relevant to us immediately. Extrafont The first package is extrafont, which enables importing font files from your computer to R. You will have to do this only once after you install the package and then in future whenever you want to use different fonts, you can simply call them by name in ggplot2.

Application Preparation for MS in Data Analytics

The MS in Data Analytics (MSDA) program at the University of Texas at San Antonio (UTSA) is all set to welcome the third batch of students this fall. The program attracts many talented applicants globally. However, due to resource constraints, we can admit only a small number of students. The program has two cohorts—daytime and evening. This year we expect to admit anywhere between 80 to 100 students in the two cohorts combined.

Syllabus for DA6233