Excel Techniques for Data Visualization...Excel Techniques for Data Visualization NCSL Fiscal...

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Excel Techniques for Data Visualization NCSL Fiscal Analyst Seminar October 11, 2018 Portland, Oregon Kate Watkins Chief Economist Colorado Legislative Council

Transcript of Excel Techniques for Data Visualization...Excel Techniques for Data Visualization NCSL Fiscal...

Page 1: Excel Techniques for Data Visualization...Excel Techniques for Data Visualization NCSL Fiscal Analyst Seminar October 11, 2018 Portland, Oregon Kate Watkins Chief Economist Colorado

Excel Techniques

for Data Visualization

NCSL Fiscal Analyst Seminar

October 11, 2018

Portland, Oregon

Kate Watkins

Chief Economist

Colorado Legislative Council

Page 2: Excel Techniques for Data Visualization...Excel Techniques for Data Visualization NCSL Fiscal Analyst Seminar October 11, 2018 Portland, Oregon Kate Watkins Chief Economist Colorado

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Why Excel?

Widely used: Wealth of online tutorials

Accessible: Cost, ease of use

Stepping stone: Tableau, R, ArcGIS

It’s more powerful than you think…

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https://www.wsj.com/articles/

the-first-rule-of-microsoft-

exceldont-tell-anyone-youre-

good-at-it-

1538754380?mod=searchres

ults&page=1&pos=2

Page 4: Excel Techniques for Data Visualization...Excel Techniques for Data Visualization NCSL Fiscal Analyst Seminar October 11, 2018 Portland, Oregon Kate Watkins Chief Economist Colorado

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Nonfarm Employment

Percent Change, Year-over-Year

VT

NH

MA

RICT

MD

DE

D.C.

NJ

Demo/Workshop

UNRATE U4RATE

lin Percent lin Percent

M Monthly M Monthly

01/01/2008 1948-01-01 to 2018-08-0101/01/2008 1994-01-01 to 2018-08-01

Civilian Unemployment Rate Special Unemployment Rate: Unemployed and Discouraged Workers

U.S. Bureau of Labor StatisticsU.S. Bureau of Labor Statistics

date value date value

01/01/2008 5.0 01/01/2008 5.3

02/01/2008 4.9 02/01/2008 5.1

03/01/2008 5.1 03/01/2008 5.3

04/01/2008 5.0 04/01/2008 5.2

05/01/2008 5.4 05/01/2008 5.7

06/01/2008 5.6 06/01/2008 5.8

07/01/2008 5.8 07/01/2008 6.1

08/01/2008 6.1 08/01/2008 6.3

09/01/2008 6.1 09/01/2008 6.4

10/01/2008 6.5 10/01/2008 6.8

11/01/2008 6.8 11/01/2008 7.2

12/01/2008 7.3 12/01/2008 7.7

Adjust Date

CHART PARAMETERS

• Exploratory analysis (for ourselves)

• Choosing and building effective visuals (for others)

• Building dynamic tools

• Leveraging automated data collection

Since 2004

Food and beverages H1 H2 H1 H2 H1 H2

H/H 0.5 -0.2 2.2 0.9 1.7 #N/A

Y/Y 0.4 0.3 2.0 3.2 2.6 #N/A

Annual

Housing

H/H 3.4 2.6 2.5 2.0 1.4 #N/A

Y/Y 5.7 6.1 5.1 4.5 3.4 #N/A

Annual

Apparel

H/H 1.6 -3.1 -3.9 7.6 -3.7 #N/A

Y/Y 4.4 -1.5 -6.8 3.4 3.7 #N/A

Annual 1.4 -1.8 #N/A

5.9 4.8 #N/A

0.3 2.6 #N/A

2016 2017 2018Colorado Population by Age and Gender

60,000 40,000 20,000 0 20,000 40,000 60,000

05

10152025303540455055606570758085

90+ Male Female

2020

Page 5: Excel Techniques for Data Visualization...Excel Techniques for Data Visualization NCSL Fiscal Analyst Seminar October 11, 2018 Portland, Oregon Kate Watkins Chief Economist Colorado

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Which chart should I use?

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Resources & Tools

Keyboard ShortcutsSave time and clicks: https://exceljet.net/keyboard-shortcuts

TutorialsGoogle is there for you. Also, try: https://digitaldefynd.com/best-excel-tutorial-training-course-classes/

Build a MapTableau Public: http://public.tableau.com/en-us/s/

Data AutomationFRED: http://fred.stlouisfed.org/

FRED Excel Add-in: http://research.stlouisfed.org/fred-addin/

InspirationRead Hans Rosling’s Factfulness or Edward Tufte’s works

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Summary and Takeaways

Goal: Make data easy to understand

• Simplify and beautify visual information

• Tell a true story

Longer-term goals

• Build dynamic analytical tools

• Leverage data automation and reporting

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Questions?

Kate WatkinsChief Economist • Legislative Council Staff

[email protected] • (303) 866-3446

www.leg.colorado.gov/lcs