data science: data visualization boot camp comparison ... · information graphics: a comprehensive...

Data Science: Data Visualization Boot CampComparison

Linear Charts Across Time

Chuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhDChuck Cartledge, PhD

26 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 202026 January 2020

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Type Sample data Hands on Q & A Conclusion References Files

Table of contents (1 of 1)

1 TypeUsesGeneral considerations

2 Sample data

3 Hands on

4 Q & A

5 Conclusion6 References7 Files

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A definition

“Sometimes referred to as a curve graph.Line graphs are a family of graphs that dis-play quantitative information by means oflines. They are extremely versatile and there-fore are used extensively. . . . A simple linegraph displays a single data series. It typi-cally has a quantitative scale on the verticalaxis and a category, quantitative, or sequencescale on the horizontal axis.”

R. L. Harris [3]

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Federal Reserve Economic Data (1 of 2)

“The Federal Reserve Bank of St. Louis is

the center of the Eighth District of the Federal

Reserve System. . . . The Division monitors the

economic and financial literature and produces

research in the areas of money and banking,

macroeconomics, and international and regional

economics. . . . The Research Division also fur-

nishes its working papers to provide insight into

current Bank interests and developing theories

and to stimulate discussion. . . . The widely used

database FRED is updated regularly and allows

24/7 access to regional and national financial and

economic data.”

Fed. Res. Bank Staff [2]

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Federal Reserve Economic Data (2 of 2)

We select the data of interest. https://fred.stlouisfed.org

https://fred.stlouisfed.org

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Selecting data of interest

For manual, singular download: https:

//fred.stlouisfed.org/series/PCE

For programtic, singular download:

https:

//github.com/tidyverse/ggplot2/

blob/master/data-raw/economics.R

We elected to download a series programtically.

https://fred.stlouisfed.org/series/PCEhttps://fred.stlouisfed.org/series/PCEhttps://github.com/tidyverse/ggplot2/blob/master/data-raw/economics.Rhttps://github.com/tidyverse/ggplot2/blob/master/data-raw/economics.Rhttps://github.com/tidyverse/ggplot2/blob/master/data-raw/economics.R

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Virginia Taxable Sales (1 of 1)

“The Center For Economic Policy Studies is

dedicated to applying economic analysis to the

design, implementation, and evaluation of public

policy and to providing a better understanding of

local and regional economies. We aim to help in-

form leaders on the facts of our local and regional

economies so that they can make more informed

decisions. Our services include policy analysis,

applied research, economic forecasting, regional

economic studies.”

CEPS Staff [1]

We select the data of interest.https://ceps.coopercenter.org/taxable-sales

https://ceps.coopercenter.org/taxable-sales

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The first codes. (1 of 5)

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## https://www.r-bloggers.com/

## choosing-colour-palettes-part-ii-educated-choices/

## https://data.library.virginia.edu/setting-up-color-palettes-in-r/

rm(list=ls())

library(ggplot2)

library(reshape)

library(RColorBrewer)

saveFileName

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myColors

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y="Millions of dollars",

caption=paste0("Using data from:https://www.census.gov/",

"foreign-trade/data/index.html"),

colour="Financial area"

) +

theme(plot.title=element_text(hjust = 0.5)) +

theme(plot.title=element_text(colour = "blue")) +

theme(plot.subtitle=element_text(hjust = 0.5)) +

theme(plot.subtitle=element_text(colour = "black")) +

theme(plot.caption=element_text(hjust = 0.0)) +

theme(plot.caption=element_text(colour = "red")) +

theme(legend.title.align=0.5) +

theme(axis.text.x=element_text(angle=0, hjust = 0))

g + geom_line(aes(y=value, group=variable, color=variable))

g + geom_line(aes(y=value, group=variable, color=variable)) +

scale_color_brewer(palette="Paired")

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The second codes. (1 of 5)

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rm(list=ls())

library(ggplot2)

library(reshape)

library(scales)

saveFileName

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{

indices

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) +

theme(plot.title=element_text(hjust = 0.5)) +

theme(plot.title=element_text(colour = "blue")) +

theme(plot.subtitle=element_text(hjust = 0.5)) +

theme(plot.subtitle=element_text(colour = "black")) +

theme(plot.caption=element_text(hjust = 0.0)) +

theme(plot.caption=element_text(colour = "red")) +

theme(legend.title.align=0.5) +

theme(axis.text.x=element_text(angle=0, hjust = 0)) +

scale_y_continuous(label=comma)

g + geom_line(aes(y=value))

index

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mapping=aes(x=2017, y=Year_2017/1000000),

label=data$Locality[index],

color="blue",

nudge_x=-1.5,

nudge_y=500

)

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Hands-on exercises

1 In the first set of slides, your supervisor wants just onechange.

1 Remove the legend, and attach the data type to the end oftheir respective curve.

2 In the second set of slides:1 One county stands out above all the rest, but there may be

additional interesting things happening in the mess at thebottom. Expand the mess, identify those cities/counties whosetaxable sales went to 0.00, and why.

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Q & A time.

Q: How many supply-siders doesit take to change a light bulb?A: None. The darkness will causethe light bulb to change by itself.

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What have we covered?

Line charts with many items are:

Useful to show qualitative andquantitative changes in the“response” variable.Line attributes (color, width,dash-type) can be used todistinguish one line from another.X and Y axis can be linear ornon-linear

Maybe the most common and mostabused type of graph

Next: 3D charts.

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References (1 of 1)

[1] CEPS Staff, CENTER FOR ECONOMIC POLICY STUDIES,https://ceps.coopercenter.org, 2018.

[2] Fed. Res. Bank Staff,About Economic Research at the St. Louis Fed,https://research.stlouisfed.org/about.html, 2018.

[3] Robert L. Harris,Information Graphics: A Comprehensive Illustrated Reference,Oxford University Press, 2000.

https://ceps.coopercenter.orghttps://research.stlouisfed.org/about.html

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Files of interest

1 Code snippet to createimages in this presentation

2 Extract Federal Reserve

economic data

3 Extract Virginia Taxable

Sales data

## First codes## https://www.r-bloggers.com/## choosing-colour-palettes-part-ii-educated-choices/## https://data.library.virginia.edu/setting-up-color-palettes-in-r/rm(list=ls())

library(ggplot2)library(reshape)library(RColorBrewer)

saveFileName

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