Visualization of the Day

Fix the errors

At your tables note the errors in the following code and then write the fix on the board.

library(tidyverse)

ggplot(dota = mpg) + 
  geom_point(mapping = aes(x = displ, y = hwy))

fliter(mpg, cyl = 8)
filter(diamond, carat > 3)
data.frame(1:10,10:1,)

Interpret these error statements

Take some time at your table to work out what the error statement is saying good and bad about your code. Write a sentence for each of these.

ggplot(dota = mpg) + 
+   geom_point(mapping = aes(x = displ, y = hwy))
#> Error in structure(list(data = data, layers = list(), 
#> scales = scales_list(),  : 
#>  argument "data" is missing, with no default

fliter(mpg, cyl = 8)
#> Error in fliter(mpg, cyl = 8) : could not find function "fliter"

filter(diamond, carat > 3)
#> Error in filter(diamond, carat > 3) : object 'diamond' not found

data.frame(1:10,10:1,)
#> Error in data.frame(1:10, 10:1, ) : argument is missing, with no default

Alan Perlis

There are two ways to write error-free programs; only the third one works.

https://www.r-bloggers.com/common-r-programming-errors-faced-by-beginners/

Manuevering in R

• Make sure you note what Alt + Shift + K does?
• Socrative Team Competition

Learning and Debugging in the wild

• Treating class like a team meeting
• The expense of training and experts in the real world

R-Lab and Stack Overflow Channel

• TA Introduction
• R-Lab: STC 361 [https://byuistats.github.io/M335/lab.html]
• Online lab: Stack Overflow and Slack
  • https://stackoverflow.com/c/byui/join

Slack Workspace

• https://slack.com/signin - byuidwv
  • Click ‘create and account’ towards the bottom

Critiquing Visualizations and Slack Setup

Please read the case study that is due this Saturday with your group and make sure your table understands the deliverables and has a good picture of how to complete them.

• Case Study 1

Questions?

Task 2: Wax on, Wax off

• Task 2
• Submit GitHub usernames

Data Science Jobs

• What a data scientist is not.
• What is the life cycle of a data science project?
  • Demand for deep analytical talent in the U.S. projected to be 50-60% greater than supply by 2018, leading to a shortage of 140,000 to 190,000 people as well as 1.5 million managers and analysts.