The following test will determine your best fit in the class - Track 1, the basic data or Track 2, more advanced data. I think some people will migrate from Track 1 to Track 2 over the course of the semester. Others may stay in Track 1. That's fine. I just want to have a decent fit for everyone.
The task involves following the instructions below to download data, make calculations in Excel and build a Tableau chart with per capita calculations.
Download data: master_file_jan7.csv
--This is the Arkansascovid.com data file as of Jan 7, 2021
--"positive" represents total positive cases
--Arkansas_all_counties in "county_nam" represents the statewide totals
--pop_5yr_est_2018 represents the 2018 population
Load the data in a Google Sheet.
--Create a new column with the positive per capita calculation
Stumped? Consult Excel Refresher here.
Create a Google Doc and answer the following questions:
1) What day did the state reach 7% of the population or 0.07 cases per capita? (Question clarified Jan 11)
2) Which county had the highest per capita rate in Jan 1, 2021?
3) Supply the rates for Washington County and its contiguous counties on Jan 1. 2021.
4) Create a separate tab in the spreadsheet, listing just the following: top 10 counties per capita as of Nov. 26, with the date, county, positive, pop_5yr_est_2018, and your per capita calculation, sorted highest to lowest
5) Find the per capita statewide rate for Jan 7, 2021. List the counties were above the statewide rate.
6) Upload your spreadsheet as a Google Sheet with these calculations and the second tab with the top 10 counties per capita.
Use Flourish, Tableau Public or Desktop to create bar chart: (updated 9/7 with Flourish option)
--Counties above the statewide per capita rate on Jan 7, 2021.
--Have a news headline and proper sourcing.
--Do a screenshot or export an image file of your chart.
Tableau
--Consult this tutorial to build a Tableau chart.
--Embed the Tableau image in your Google Doc.
Post all of your answers and links to a single Google Doc. Post a link to that Google Doc (make sure I can edit it!) on Blackboard by 11:59 pm Tuesday
If you can't figure out something, do as much as you can and explain what you can't figure out. Do not spend more than two hours on this exercise.
When building our graphs, we found the top 10 Arkansas colleges with first-generation debt, the colleges that exceed the state average and the debt by school type. Our two maps show that Hendrix College has the highest amount of debt owed at $20,625. The difference between the leading school and number 10 school is $6,553. When building our final graph, we found the most affordable option is to attend a private non-profit school. We took into consideration when labeling our maps. For example, the top 10 colleges always have their names shown and dollar amounts can be found by hovering over the colored areas. The color legend is important to the map to show the darker colors relate to schools with higher debt amounts.
Arkansas first-generation debt by school types show that private for-profit colleges have a higher number of debt owed. This graph shows three types of colleges: public, private not-for-profit and private for-profit. This data shows private for-profit colleges to have the highest amount of debt with $257,749. Private not-for-profit colleges had a total of $207,586. The difference between the most expensive option and the most affordable option is $50,163. There are direct comparisons from this graph that are shown in the maps. Institutions such as Bryan University, Vista College, and a couple of the cosmetology schools were institutions that exceeded Arkansas’s average debt amount.
Subject: Study Journalism and Strategic Media in Rome – Spring 2020
Students in The School of Journalism and Strategic Media will have the opportunity to complete up to 15 hours credit toward the JOUR degree and/or complete the entire Global Studies minor at the University of Arkansas Rome Center in the Spring of 2020. An informational meeting is planned for Tuesday, September 10th at 4:30 in Kimpel Hall 416. Students will have a chance to meet the faculty and other students planning to participate. Please review the attachments for more details.
COMM/INST 4873. International Communication and Globalization. 3 Hours.
Explores the history, present and future of global communication. It introduces and explains the theories, stories and flows of information and media that affect us all.
COMM/PLSC 4373. Political Communication. 3 Hours.
Study of the nature and function of the communication process as it operates in the political environment.
JOUR 4333. Ethics in Journalism. 3 Hours.
Critical examination of specific ethical problems confronting professionals in all areas of mass communications. Reading and writing assignments are aimed at familiarizing
students with the nature of the mass media and their social responsibilities.
JOUR 4483 Issues in Advertising & Public Relations. 3 Hours.
Seminar course involving the critical examination of the major cultural, social, political, economic, ethical, and persuasion theories and/or issues relevant to advertising and public relations affecting individuals, organizations, societies.
ENGL 3903 |Travel Writing (Journalism Credit).
This course provides an opportunity for students to focus first-hand on the art and craft of travel writing, with particular emphasis on Italy.
*U of A Rome Center Semester Spring 2020: Global Studies Program
Overview
Academics
Financial Info
Student Responsibilities
The Rome Center Semester curriculum offers courses that focus on the artistic and cultural contributions of the city of Rome from ancient to modern times. The ‘Roman Razorbacks’ use this ancient city as a laboratory to examine historical and contemporary Rome through numerous local site visits and museum tours. Students see the Colosseum, Vatican City and its Sistine Chapel as well as the works of Michelangelo, Caravaggio, Bernini, and Borromini which are scattered throughout the city.
The following courses will be offered by distinguished faculty from the University of Arkansas Fayetteville campus, supplementing the core curriculum of Rome Courses in International Studies, Art history, Italian Language & Humanities.
COMM/PLSC 4373 | Political Communication Dr. Robert Wicks
Study of the nature and function of the communication process as it operates in the political environment.
COMM/INST 4873 | International Communication and Globalization Dr. Robert Wicks
Explores the history, present and future of global communication. This course introduces and explains the theories, stories and flows of information and media that affect us all.
JOUR 4333 Ethics in Journalism Dr. Jan Wicks Critical Examination of specific ethical problems confronting professionals in all areas of mass communications. Reading and writing assignments are aimed at familiarizing students with the nature of the mass media and their social responsibilities.
JOUR 4483 | Journalism or European Studies Seminar: Issues in Advertising & Public Relations Dr. Jan Wicks Seminar course involving the critical examination of the major cultural, social, political, economic, ethical, and persuasion theories and/or issues relevant to advertising and public relations affecting individuals, organizations and societies.
ENGL 3903 |Travel Writing (Journalism Credit)
This course provides an opportunity for students to focus first-hand on the art and craft of travel writing, with particular emphasis on Italy. Through reading, writing, and visits in and around the city center, students will explore places of historic, artistic, cultural and personal interest. They will learn “by example” from a selection of great travel literature from the world in general, and from Italy in particular. And they will learn “by doing,” via a series of guided exercises and assignments that explore the distinctive qualities of travel writing and the ways in which this particular art can lead to a deeper understanding of their own experiences and cultural identity.
WLIT 3983 (H):“Rome: the Rebirth of Antiquity and the Birth of Modernity” |cross-listed as MRST 3023(H), and HIST 3983(H) Dr. Bill Quinn
This interdisciplinary course investigates a key moment of cultural crisis for Rome and the reverberations thereof for all the World. Our primary focus will be an exploration of how late medieval society struggled to re-identify itself in terms of the Renaissance and Reformation. Particualr moments for detailed consideration include: April 8, 1341, when Petrarch was crowned poet laureate by Roman Senatori Giordano Orsini and Orso dell’Anguillara on Capitol; 1417, Council of Constance and burning of John Hus; 1418, when the Arte della Lana selected Brunelleschi to construct the dome of Santa Maria dei Fiori in Florence; 1496, when Michelangelo arrived in Rome; and, lastly, the Sack of Rome in 1527. Site visits to include: Palazzo Farnese, Palazzo Spada, Campo dei Fiori, Cancelleria, Ponte Sisto, Via Giulia, St Peter’s Basilica, Castel San’Angelo, Pantheon, Santa Maria sopra Minerva, Basilica di S. Augustino, Villa Borghese, Da Vinci Museum, Basilica Sta Maria Popolo, Sta. M. degli Angeli, Palazzo Venezia, Piazza Campodoglio, St. Peter in Chains, and Florence.
Degree Credit
Check back soon for more specific degree advising information or contact program faculty/staff!
Students from many areas of study can earn substantial credit towards their degrees. Students should always refer to their academic advisors for specific review of their degree process.
Communication
up to 12 hours degree credit
Journalism
up to 15 hours degree credit
Political Science
up to 9 hours degree credit
Sociology
up to 6 hours degree credit
International Studies
up to 15 hours degree credit
Interdisciplinary Studies
up to 15 hours degree credit*
English
up to 9 hours degree credit
Global Studies Minor
complete more than 1/2 of the minor in this semester!
Medieval/Renaissance Studies Minor
complete more than 1/2 of the minor in this semester!
*Interdisciplinary Studies majors should consult with their program director and academic advisor to review their course of study. Degree credit depends on their approved plan of study and discipline areas.
* Import data. Headers have to be right * Strings and types in the data view
Tableau: Arkansas 2014 Crime Rates
Build a crime chart.
FBI Crime Data for 2017 1) Import spreadsheet into Tableau 2) Original Data 2017 3) Data Interpreter --Headers become visible --Rename State to City-Town 4) Are Words as ABC? Are Numbers as #? 5) New Worksheet 6) City-Town to rows. 7) Violent crime to columns. Check that measure is SUM 8) Add violent crime to colors. --Click colors. Green-Red diverging. Reverse colors 9) Add violent crime to labels 10) Labels. Formatting. --Headline: Click "Sheet 1" 11) Sort ascending --This chart is ridiculously long! 12) Filter: 50 or more violent crimes --Drag Violent Crime to Filter. 50 minimum. Your end product should look like this:
Part 2:
1) Export a jpg version of your chart --Worksheet | Export | Image 2) Engage in excessive self-congratulatory behavior.
Power Users: Once you have done that, add a violent crime rate 1) Duplicate Sheet 1 --This copies your whole work to a new sheet 2) Calculate a Violent Crime Rate Per 1,000 --Click on Violent Crime - down arrow | Create | Calculated Field --Name the Calculation "Violent Crime Rate Per 1,000" --Divide Violent Crime into Population: --Add a Division Symbol after [Violent Crime]/[Population] --Enclose in parentheses: ([Violent Crime]/[Population])*1000 3) Drag Violent Crime Rate Per 1,000 to Columns. --Remove Violent Crime --Sort 4) Check your colors and labels. --Drag Violent Crime Rate Per 1,000 to Colors --Drag Violent Crime Rate Per 1,000 to labels --Drag Violent Crime Rate Per 1,000 to filter
4) Headline, Format Legends, Export jpg
Tableau Ninjas: Once you have done that, chart a stacked bar chart with violent and property crime.
Table Calculation: Add a new column divides graduate debt into enrollment –In Measures Data Tab, Left Click on GRAD_DEBT_MDN, Create Calculated Field –Put in this formula: sum[GRAD_DEBT_MDN]/[UGDS] –Rename This as: Grad Debt Per Capita Enrollment Drag INSTNM to Rows #Grad Debt Per Capita Enrollment to Columns Format with a Title, add appropriate annotations. Color the graphic, include labels.
Here’s a start: –Download and clean the data: US Ark Counties Poverty ACS_16_5YR_DP03_with_ann-1w6iwss We have a lot of data in this spreadsheet. Let’s simplify things. We will visualize just one column- Column J –: “Percent; INCOME AND BENEFITS (IN 2016 INFLATION-ADJUSTED DOLLARS) – Total households – $15,000 to $24,999” –Copy the “Edited Poverty” tab and rename it Min Wage Only –Delete all of the columns except for the Percent; INCOME AND BENEFITS (IN 2016 INFLATION-ADJUSTED DOLLARS) – Total households – $15,000 to $24,999″ –Fix the column headings so it plays nice with Tableau. Delete the Row 1 “GEO.display-label…” –Simplify your new column B: % Households – $15k-$25k –Save, backup etc and open Tableau. –Import your data –Open new tab –Geography to Columns. % Households $15k- $25k to rows –Sort by largest-smallest –Filter by Geography – drag Geography to Filter. Filter to keep the following: Arkansas, Benton,Carroll, Crawford, Madison, Sebastian, United States, Washington Formatting. This is the standard formatting you will apply to all of your charts in some fashion. We are simplifying and clearly marking the labels –Drag to Label in Marks box: % Households $15k- $25k to rows –Format Label to % – Format | Pane | Default | Numbers | Numbers: Custom | 1 decimal. % as suffix. –Format Y Axis to %. – Format | Axis | Scale | Numbers | Number: Custom | no decimal, % as suffix. –Color the bars. Drag to colors in Marks box: % Households $15k- $25k to rows. Edit colors to blue – red scale, reverse colors so red = highest. –Label graph: Double Click on “Sheet 1” above the chart. Text box emerges with <Sheet Name> Type in name of chart: Minimum Wage Households Percentage of Households Earning $15,000-$24,999 in 2016 Source: U.S. Census –Fix X axis labels (squished) . Drag the right chart out to expand the visualization. Export image –Worksheet | Export | Image –Click off color legend option –Title Minimum Wage Arkasas. Save as .jpeg
Institutions to Rows Graduate Debt to Columns Withdrawal Debt to Columns Dual Axis Chart for the two debts Display in Side by Side Bar Chart.
Edit Chart Title Edit Labels – left click, edit alias Rotate School Labels – left click, rotate label Edit Y Axis Legend – left click, format. Scale. Numbers, Custom. No decimals
Part 2: Compare single mothers in poverty to total poverty rates Rows % Female Households and %Poverty All families Click on Green Pill Sum (% Poverty All Families) Dual Axis Unified Axis. Left click on legend, synchronise axis Marks Card – turn all poverty to bars. Label individual cards Tableau Dual Axis chart http://kb.tableau.com/articles/howto/dual-axis-bar-chart-multiple-measures
Assessment: Build a chart with a new calculated field dividing graduate debt into enrollment Visualize by school Format the X and Y axes, Label the rows with specific debt to enrollment (UofA is $xxxx), Provide a headline and source. 2. Build a chart with a new calculated field dividing dropout debt into enrollment Visualize by school Format the X and Y axes, Label the rows with specific debt to enrollment (UofA is $xxxx), Provide a headline and source. 3. Build a Dual Axis Chart the Calculated Fields, Graduate Debt / Enrollment and Dropout Debt / Enrollment Filter by Beauty Schools Visualize by school Format the X and Y axes, Label the rows with specific debt to enrollment (UofA is $xxxx), Provide a headline and source. Export and upload the three image files and load to Blackboard. Write two story ideas to come from this data work in a Word file.
Clean Zip Codes In Excel –Copy data into new sheet: Call it “Fixed Zip” –Insert dashes into the errant zip codes –Save and import Fixed Zip New sheet, begin map: double click on zip codes
Problem #2: Associate Map Data to State in Tableau Tableau – Go to: Map | Edit Locations. A bunch zip codes in red. Not displaying. Further edit the zip codes. It doesn’t like the mix of short and long zip code. Fix: Tableau. Data. Zip Code. Split. –New Column has only five-digit zips. Call it Zip1 – delete the other. It keeps the original. Nice.
Dual Mapping
Using ARDebt9-17 New sheet, begin map: double click on ZIP Marks Card | Map Drag White students to Color box, Convert to Average.
Click on Longitude pill in Columns. Press Command. Drag to Right. Release mouse –Creates two Longitude pills and two maps –Marks Card Now Has Controls for Two Maps
Marks Card Has Two Maps. Lower Map, Drag UGDS Black to color. Marks Card, switch to Circle. Change Color to Orange. Upper Map, Drag UGDS White to color, Change Color scheme to Green In Columns, Select Down Arrow on Longitude | Dual Axis –Maps are combined
Drag City to Marks Card | Tooltip
Edit Tooltips so data displays properly –Select Worksheet > Tooltip. Rename the items so they are in English! –UGDS_BLACK = Black Enrollment. –Format | Pane | Fields AVG(UGDS _ Black) | Default | Numbers | Percentage to one decimal
Class Assignment and Homework: Dual Maps: – First Gen, Non-first Gen Debt all schools: Ramirez, Hennigan, Fracchia – Male, Female Median Debt: Baird, Bonner, Zimmardi – Debt of Students Who Withdrew, and Graduated: Ross, Tillson – Low-Income, High-Income Students: Ellington, Neubaum, Duby – Trend in Debt, 2015-16 vs 2016-17: Borgognoni and Thompson
–Post on WordPress. Create a new post Use Divi Builder, the Purple box above the formatting bar Insert columns, pick a full row Insert module, pick </> Code Paste your Tableau Public embed code in the Content box Scroll down, change the Admin Label to My Mind-Blowing Tableau Graphic (or something more humble). Save and Exit Change Page Layout (upper right corner) to Fullwidth. Publish Revel in your nerd powers
Tableau Interactive Graphics Dashboards with Poverty Data. Sizing and Formatting. Navigation from Dashboard to Actual Graphic. Simplicity in Design for Dashboard, Space for Central Element. Filters: Basic Filters and Filter as Sheet
Basic Filter: Applies to One Worksheet –Click upper righthand menu on graphic, see Filters, select the appropriate data source. Here it would be total incomes under $25,000. –Filter is created and placed at the bottom of graphic. You can format and move the filter. –Drag by tab in upper center of filter object. Move it to the top of the filtered graphic. “Super Filter”: Add a Filter to Control All Cities on Worksheet Filters on Dashboards When we click through a filter, we see that by default, it only applies to the view it came out with. We can make this filter apply to the entire dashboard. –Click on the filter (down triangle icon), open the menu. –Apply to Worksheets, select “all related data sources” Now when we make a selection, it applies to the whole dashboard Similarly, we can make a view act as a filter for the dashboard. Click on the view to bring up the header bar, and click the filter icon. Now if we select a header such as Second Class, all the relevant views are filtered.
Exercise: Format Workbook for A Phone A majority of our readers will view these stories on their phones. For the Fall 2017 Veterans Health Care project, some 70 percent of the readership was on a mobile device. Schleuss said the Los Angeles Times receives about 55 percent of its traffic on mobile devices. Let’s format this workbook for mobile. The design choices will be radically different. –Duplicate your workbook –Design it with the mobile template on the left: See Upper Left Tab: Dashboard: Device Preview. Switch to Phone –Before doing any radical surgery to your graphics, consider duplicating them and bringing in the new versions into the mobile template.
Here is some detailed guidance on your final assignment graphics and dashboards. I think these are good ideas. But if you have something better, let me know and edit this Google Doc. And we will discuss. We will review some of Megan’s super Tableau tricks in class and then you will use a chunk of the remaining time to hammer out these dashboards and ask questions. Create Bins: https://onlinehelp.tableau.com/current/pro/desktop/en-us/calculations_bins.htm Format Filters – See video below Use parameters to organize data: https://onlinehelp.tableau.com/current/pro/desktop/en-us/parameters_create.htm Use sets to organize data: https://onlinehelp.tableau.com/current/pro/desktop/en-us/sortgroup_sets_create.htm#Use
Here is some detailed guidance on your final assignment graphics and dashboards. I think these are good ideas. But if you have something better, let me know and edit this Google Doc. And we will discuss. We will review some of Megan’s super Tableau tricks in class and then you will use a chunk of the remaining time to hammer out these dashboards and ask questions. Create Bins: https://onlinehelp.tableau.com/current/pro/desktop/en-us/calculations_bins.htm Format Filters – See video below Use parameters to organize data: https://onlinehelp.tableau.com/current/pro/desktop/en-us/parameters_create.htm Use sets to organize data: https://onlinehelp.tableau.com/current/pro/desktop/en-us/sortgroup_sets_create.htm#Use
Dashboard Design Concepts
DashBoard Design Version 1 Created by ravindra kumar on May 10, 2013 10:35 AM. Last modified by ravindra kumar on May 10, 2013 10:41 AM. Role :- 1)Strategic 2)Analytical 3)Operational
1.Dashboards for strategic purposes The primary use of dashboards today is for strategic purposes. The popular “executive dashboard,” and most of the dashboards that support managers at any level in an organization, are strategic in nature. They provide the quick overview that decision makers need to monitor the health and opportunities of the business. Dashboards of this type focus on high‐level measures of performance, including forecasts to light the path into the future. Although these measures can benefit from contextual information to clarify the meaning, such as comparisons to targets and brief histories, along with simple evaluators of performance (for example, good and bad), too much information of this type or too many subtle gradations can distract from the primary and immediate goals of the strategic decision maker.
2. Dashboards for analytical purposes Dashboards that support data analysis require a different design approach. In these cases the information often demands greater context, such as rich comparisons, more extensive history, and subtler performance evaluators. Like strategic dashboards, analytical dashboards also benefit from static snapshots of data that are not constantly changing from one moment to the next. However, more sophisticated display media are often useful for the analyst who must examine complex data and relationships and is willing to invest the time needed to learn how they work. Analytical dashboards should support interactions with the data, such as drilling down into the underlying details, to enable the exploration needed to make sense of itthat is, not just to see what is going on but to examine the causes. For example, it isn’t enough to see that sales are decreasing; when your purpose is analysis, you must be made aware of such patterns so that you can then explore them to discover what is causing the decrease and how it might be corrected. The dashboard itself, as a monitoring device that tells the analyst what to investigate, need not support all the subsequent interactions directly, but it should link as seamlessly as possible to the means to analyze the data.
3.Dashboards for operational purposes When dashboards are used to monitor operations, they must be designed differently from those that support strategic decision making or data analysis. The characteristic of operations that uniquely influences the design of dashboards most is their dynamic and immediate nature. When you monitor operations, you must maintain awareness of activities and events that are constantly changing and might require attention and response at a moment’s notice. If the robotic arm on the manufacturing assembly line that attaches the car door to the chassis runs out of bolts, you can’t wait until the next day to become aware of the problem and take action. Likewise, if traffic on your web site suddenly drops to half its normal level, you want to be notified immediately.
As with strategic dashboards, the display media on operational dashboards must be very simple. In the stressful event of an emergency that requires an immediate response, the meaning of the situation and the appropriate responses must be extremely clear and simple, or mistakes will be made. In contrast to strategic dashboards, operational dashboards must have the means to grab your attention immediately if an operation falls outside the acceptable threshold of performance. Also, the information that appears on operational dashboards is often more specific, providing a deeper level of detail. If a critical shipment is at risk of missing its deadline, a high‐level statistic won’t do; you need to know the order number, who’s handling it, and where it is in the warehouse. Details like these might appear automatically on an operational dashboard, or they might be accessed by drilling down on or hovering the mouse over higher‐ level data, so interactivity is often useful. The ways that dashboard design must take different forms in response to different roles are clearly worth your attention. We’ll examine some of these differences in more detail in Chapter 8, Putting It All Together, when we review several examples of what works and what doesn’t for various purposes. https://public.tableau.com/profile/ravi2917#!/vizhome/LorealDemo/StrategicDashboard
Format Numbers
Format the numbers once in the Measures: Right Click – Default Properties | Number Format | Aggregation | Median Right Click – Default Properties | Number Format | Aggregation | Percentage (or Currency …etc)
Build a graph with two measures, one by bar and the other by line. Two measures. One Debt, one Default. Switch one to line —Drag 3-year default rate to sheet —Drag College Name to columns —Drag Median Debt to far right hand column —You have dots on view. Change median debt from Automatic to a line in Marks Card —Change 3-year default rate from Automatic to bars in Marks Card
Format Legend Titles Correctly – Drag Legends to Bottom, Resize and Rename so words fit correctly
Relational Databases: How They Work
Link on Common Fields
Inner, Left, Right joins
http://www.tableau.com/learn/tutorials/on-demand/join-types-union
Joining the 2015-16 data to the 2016-17 data
1) Open Tableau Workbook ARDebt9-17.twbx
2) New Sheet
3) Data | New Data Source
4) Import ARDebt2015-16.xlsx
5) Add New
6) Import ARDebt9-17
7) Inner Join on Unitid
8) Rename as AR2015-17MERGED
9) New sheet, CONVERT TO measures. CAREFUL! DO THIS ONE AT A TIME. CONVERT 2015-16, THEN CONVERT 2016-17
You now have two sets of measures. One for 2015-16 and one for 2016-17
Build a chart contrasting Grad Debt Mdn changes
1) from 2016-17, Instm to Rows
2) Find Grad_Debt_Mdn for 2015-16. First Rename it GRADDEBT15-16. Then drag to columns
3) Find Grad_Debt_Mdn for 2016-17. Rename it GRADDEBT16-17. Drag to columns.
4) Sort by GRADDEBT16-17. Which ones increased?
Build a chart with calculated field Grad Debt Mdn changes
subtract GRADDEBT16-17 from GRADDEBT15-16
Tableau Can Be Dangerous, Part 1
Inner Joins. Outer Joins.
--The evils of the inner-join and how it can mess up your math.
Relational Databases: How They Work
Link on Common Fields
Inner, Left, Right joins
http://www.tableau.com/learn/tutorials/on-demand/join-types-union
https://help.tableau.com/current/pro/desktop/en-us/joining_tables.htm
Exercise on Inner Joins.
Spreadsheet at this link
1) Do the four corners test. How Many in Violent 2013? In Violent 2017?
2) Load data into Tableau
3) Inner join Violent 2013 and Violent 2017 on zip code
4) Build bar graph that visualizes 2017 Violent crime by City.
6) From Analytics, drag total and average line to view
7) Display the totals with labels
Question:
Totals and Average for Inner Join?
Totals and Average for Right Join?
Why are we getting different numbers?
Grouping:
--Group on sheet for specific view
--Grouping in dimensions pane is problematic
Exercise: Show the average graduate debt for HBCUs vs Public, Private Non-Profit, Private For-Profit
1) Build basic schools and Grad Debt Mdn graphic. Set to Average. Add Control to Filter
2) Group HBCUs
3) Filter Public schools, group them
4) Unfilter
5) Filter Private non profits, group them
6) Unfilter
7) Filter Private for profits, group them
8) Unfilter
Solution to Exporting Low Quality Images from Tableau
1) Worksheet | Copy | Image
2) Select Title & View
3) Open Preview
4) File | New From Clipboard
--Your Tableau graphic has been pasted into Preview.
5) Export. Change Format to JPEG. Increase Quality to Best. Option: Boost Resolution to 1000 pixels/inch
Bins and Groups
Bins and Groups
Create Bins: https://onlinehelp.tableau.com/current/pro/desktop/en-us/calculations_bins.htm
Other options besides bins:
Use parameters to organize data: https://onlinehelp.tableau.com/current/pro/desktop/en-us/parameters_create.htm
Use sets to organize data: https://onlinehelp.tableau.com/current/pro/desktop/en-us/sortgroup_sets_create.htm#Use
Assignment
Create graphics. Propose a story idea. Each student interviews one person for the assignment.
Refresher on how to create calculated fields:
https://help.tableau.com/current/pro/desktop/en-us/calculations_calculatedfields_formulas.htm
Each person produces one graphic. The graphics should be different. Tip: Use the filtering to create different versions of the topic, i.e. top 10 or bottom 10.
Jour 5283: Each student produces three separate graphics.
Each team submits a 400-word draft story. Spell out the individual team members' contributions at the bottom of the story, ie, Wells interviewed Trump for the story, Jordan interviewed Bush.
Memo and graphics due 11:59 p.m. Friday, Sept. 27
Another Assignment
Create the following charts in Tableau:
2. Top 10 schools with the most low income debtors and high income debtors. Create jpg, upload to Blackboard
3. Top 10 schools with highest median debt for females, highest for males. Create jpg, upload to Blackboard
4. Write 250 words with your analysis of this data and propose one story idea.
Answers due 11:59 pm Sept. 21 on Blackboard
Another Assignment on Race
Create Tableau chart, top 10 schools by student race/ethnicity:
Chart 1: White schools
Chart 2: African-American schools
Chart 3: Hispanic schools
Chart 4: White, black, hispanic, asian
--Columns SUM(Ugds White) SUM(Ugds Black) etc
--Sort by individual columns
Issues:
Format Labels from "Sum of Ugds White" to White
Ditto for Black, Hispanic, Asian
Wrap the labels: Mouse between rows, expand the spacing - make the rows fatter
Format | Wrap On
Create Tableau chart, create ratio Grad_Debt_Mdn/Enrollment per school
Another Assignment with Graphics
Create the following charts in Tableau:
Top 10 schools with the most low income debtors and high income debtors. Create jpg, upload to Blackboard
Top 10 schools with highest median debt for females, highest for males. Create jpg, upload to Blackboard
Write 250 words with your analysis of this data and propose one story idea.
Answers due 11:59 pm Sept. 21 on Blackboard
Another Assignment with Calculations
Calculations in Tableau
See Video, Getting Started With Tableau Calculations
Follow the exercises in the sample workbook
See the transcript for guidance.
Homework Question #1:
Create a calculated field that divides the profits into sales, which we will call profit-sales ratio.
Build a chart that displays the profits-sales ratio by Sub-Category, or tables, machines, fasteners etc.
Sort that chart with the highest profit items on top. Format the axis in dollars, label the bars in dollars.
Write a headline.
Upload a .jpeg into Blackboard.
Homework Question #2:
Use ARDebt9-17 data
Create a histogram plotting the median debt for Arkansas colleges
Label the colleges (don't worry, only a portion of the colleges will display. That's ok)
Write a headline.
Upload a .jpeg into Blackboard.
Introduction to Dashboards
Telling a Story With Data: Interactive Dashboards.
Search for Dashboard:
https://wordpressua.uark.edu/datareporting/tableau-license/
Wells dashboard
https://public.tableau.com/profile/rob.wells#!/vizhome/IRE19_GDPVisualizingtheStateLocalEconomy/ArkansasEconomyinDetail
Class Exercise:
--Build A Dashboard Using Existing Maps and Graphics
Pane #1: Map
Pane #2: Graphic
Pane #3: Graphic with a slider to let readers interact with data (sort by most low-income student debt. sort by highest enrollment by race. sort by highest median debt. etc)
Dashboards
Create a Dashboard With The Following Elements
Pane #1: Map of Default rates for colleges with more than statewide average of White enrollment.
Pane #2: Map of Default rates for colleges with more than statewide average of Black enrollment.
Pane #3: Map of Default rates for colleges with more than statewide average of Hispanic enrollment.
--