--- title: | | STAT 408 - Data Viz Principles date: "February 15, 2018" output: html_document --- ```{r setup, include=FALSE} library(knitr) library(formatR) library(XML) library(dplyr) library(ggplot2) knitr::opts_chunk\$set(echo = TRUE) knitr::knit_hooks\$set(mysize = function(before, options, envir) { if (before) return(options\$size) }) ``` ## Exercise: Telling Stories with Data - What does statistics mean to you? - How about data science? - data visualization? ## Exercise: Hans Rosling Discussion [http://www.youtube.com/embed/jbkSRLYSojo?rel=0](http://www.youtube.com/embed/jbkSRLYSojo?rel=0) - What did you learn from this movie? - How did Hans Rosling use data visualization to tell a story? - What principles from the visualization would you like to be able to do? ## Exercise: Visualizing Patterns Over Time - What are we looking for with data over time? ## Capital Bikeshare Data ```{r} url <- 'http://www.math.montana.edu/ahoegh/teaching/stat408/datasets/Bike.csv' bike.data <- read.csv(url,stringsAsFactors = F) head(bike.data) bike.data\$year <- substr(bike.data\$datetime,1,4) bike.data\$month <- substr(bike.data\$datetime,6,7) monthly.counts <- summarize(group_by(bike.data,month), sum(count)) colnames(monthly.counts)[2] <- 'Num.Bikes' head(monthly.counts) ``` ## Exercise: Patterns over Time Consider the number of bike rentals per hour per season - Is this an example of continuous or discrete time? - Make a figure to display your findings ## Exercise: Visualizing Proportions - What to look for in proportions? ## Exercise: Visualizing Relationships - When considering relationships between variables, what are we looking for?