1/3 [ISM6404] Business Data Visualization and Reporting Individual Project Guidelines From formulating research questions to modifying your visualization with some advanced Tableau functionalities, we...

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It must be done in accordance with the requirements in the document, and Tableau software must be used.



1/3 [ISM6404] Business Data Visualization and Reporting Individual Project Guidelines From formulating research questions to modifying your visualization with some advanced Tableau functionalities, we have covered how to effectively communicate with your audience with limited number of charts and graphs. Are you ready to create your own dashboards in a Tableau story? In this final assignment, you are to create the dashboards with your own data! In this project, what you do is to frame good research questions with your data of focus, explore some patterns and/or characteristics of the data, add insights by blending additional data and further suggest (if possible) association among research variables. You can use your own data, publicly available data or web- scrapped data as well. In this project, your groups are expected to 1. Identify your questions 2. Explain what your data is about 3. Data blending (additional sources of data) 4. What dimension and/or measure you create 5. Create a dashboard with your data 6. Briefly summarize your findings with interpretation and practical suggestions Final deliverables (submit to Canvas) • PPT slide decks • Tableau packaged workbook (.twbx) • Zoom recordings Tableau packaged workbook (.twbx) For your reference, it is recommended to take ‘Creating Interactive Dashboards in Tableau’ on Lynda.fiu.edu and read “6 best practices for creating effective dashboards.pdf” on Canvas. Submit your report and Tableau packaged workbook (.twbx). FYI, Tableau Packaged Workbook (TWBX) is a package of files “compressed” together. It includes a data source file, TWB, and any other file used to produce the workbook (including images). TWBX is intended for sharing. 2/3 Grading rubrics for PPT Slides Components Explanation Examples (from Hospital Revenue Data) Points Understanding Data Describe what the data is about, what are the measures and dimensions, what might be your potential variable of focus How you search for additional data for data blending (at least one or more data blending is necessary) Explain what your data is about How data blending is performed and why data blending matters 2 Identifying your target audience Who might benefit (or be attracted) from your research question(s) Understanding hospital revenue data will benefit healthcare policy making, hospital practitioners’ decision making for their operation and medical service. 1 Frame research question(s) Descriptive/ predictive research questions Refer to the course materials for descriptive and predictive research question formulation (at least 3~4 research questions). 2 Methods Explains how new dimension and/or measure are created and How calculation and parameter were used 2 Tableau dashboard demonstration You are supposed to produce main 3-4 visualizations with diversity using Tableau that support your questions. Includes well-sized charts or graphs in your report. You also decide whether you use a single dashboard or multiple additional vizs (by using go to sheet action) for the demonstration Here are the dashboard example: https://public.tableau.com/searc h/vizzes/dashboard See for Tableau Dashbo ard evaluati on Interpretations What your visualizations tell you? What did you identify or discover from the visualizations? For example, results from hospital revenue data might indicate that there might be regional variation in hospital revenue. This might be due to characteristics of patient population in the location. 1 Conclusion/ Practical suggestions What might be your practical findings and suggestions for the target audience? Is this result applicable to broader audience? Your interpretation of the results and practical implication 1 Total 9 points https://public.tableau.com/search/vizzes/dashboard https://public.tableau.com/search/vizzes/dashboard 3/3 Tentative Grading Rubrics for Tableau Dashboard Components Criteria Points Research question Whether it matches with the data 1 point Whether it is descriptive or predictive and matches with visualization 1 point Data Description Understanding dimensions and measures 1 point Dashboard Design Broad to specific approach 1 point Chart types 1 point Advanced charts used 1 point What are created by Calculation 1 points How Parameter is used 1 points Dynamic actions – dashboard actions, set actions, parameter actions 2 points Predictive analytics (e.g. native Tableau capabilities) 1 points Formatting 1 point Total 11 points Extra Credits (based on quality of work & use of advanced function) Up to 2 credits Don’t Forget • Make your PPT slide decks include all six elements of project objectives. In your Tableau dashboard, I want to see your selection of creative charts and utilization of some advanced functionality such as calculation, parameter and dynamic dashboard actions in your dashboard. • Submit your deliverables (PPT slide decks, Tableau packaged workbook .TBWX file, zoom recording) to Canvas assignment dropbox. No late submission will be accepted nor graded for your group project. If you submit .TWB instead of .TWBX, you will get 0 point for the dashboard. If you have any other questions, just email me at [email protected]. mailto:[email protected]
Answered Same DayMay 08, 2021

Answer To: 1/3 [ISM6404] Business Data Visualization and Reporting Individual Project Guidelines From...

Sandeep Kumar answered on May 11 2021
149 Votes
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"[federated.09iu2670oi28z31araa8i071ene7].[sum:Confirmed:qk]"


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"[federated.0cyerh20e9apwj1d12l911765opd].[sum:Confirmed:qk]"


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"[federated.0dfj6ji14fwm881ckmvia0787tqn].[sum:Confirmed:qk]"


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"[federated.0drfd7k06omxmk11xzke71wsfiqk].[sum:Confirmed:qk]"


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"[federated.0g3jx5i0wrw0qo18uiy2703mwt3n].[sum:Confirmed:qk]"


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"[federated.0gqeg1q1xs3fmj1et6kvv08zwacr].[sum:Confirmed:qk]"


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"[federated.0hol1i41vpvt3d1g0e6gk0yl0vxa].[sum:Confirmed:qk]"


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"[federated.0rur8hj1p14zqp0zl44eu1yu4gn8].[sum:Confirmed:qk]"


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"[federated.13mhgji1oz5eq51cg88o00wv26vt].[sum:Confirmed:qk]"


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"[federated.17o583p11zubao12gz35713j3nkr].[sum:Confirmed:qk]"


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"Rwanda"


"Taiwan*"


"Algeria"


"Burkina Faso"


"Djibouti"


"Grenada"


"Kenya"


"Montenegro"


"Portugal"


"Suriname"


"Vietnam"


"US"


"Benin"


"Cote d'Ivoire"


"Hungary"


"Ireland"


"Malta"


"Pakistan"


"Slovakia"


"Afghanistan"


"Bosnia and Herzegovina"


"Cuba"


"Georgia"


"Jamaica"


"Mexico"


"Paraguay"


"South Africa"


"Uruguay"


"Belgium"


"Congo (Kinshasa)"


"Fiji"


"Luxembourg"


"Norway"


"Seychelles"


"Spain"


"Turkey"


"Andorra"


"Cabo Verde"


"Dominica"


"Guatemala"


"Malaysia"


"Morocco"


"Qatar"


"Sweden"


"Zambia"


"Austria"


"Bangladesh"


"Equatorial Guinea"


"Estonia"


"Lithuania"


"Niger"


"Saudi Arabia"


"Togo"


"Azerbaijan"


"Barbados"


"Colombia"


"Eswatini"


"India"


"Nigeria"


"Senegal"


"Trinidad and Tobago"


"Belize"


"Costa Rica"


"Finland"


"Iraq"


"Maldives"


"Oman"


"Singapore"


"Bhutan"


"Croatia"


"Gabon"


"Israel"


"Mauritania"


"Panama"


"Slovenia"


"United Arab Emirates"


"Central African Republic"


"El Salvador"


"Germany"


"Holy See"


"Lebanon"


"Netherlands"


"Saint Lucia"


"Tanzania"


"Korea, South"


"Angola"


"Cambodia"


"Dominican Republic"


"Guinea"


"Kuwait"


"Mozambique"


"Romania"


"Ukraine"


"Zimbabwe"


"Brazil"


"Cyprus"


"France"


"Iceland"


"Japan"


"Moldova"


"Peru"


"Uganda"


"Belarus"


"Congo (Brazzaville)"


"Ethiopia"


"Indonesia"


"North Macedonia"


"Serbia"


"Tunisia"


"Armenia"


"Bahamas"


"Chad"


"Honduras"


"Liberia"


"New Zealand"


"Saint Vincent and the Grenadines"


"Thailand"


"Switzerland"


"Albania"


"Brunei"


"Czechia"


"Ghana"


"Jordan"


"Monaco"


"Philippines"


"Sri Lanka"


"Uzbekistan"




"[federated.1abjkwj10sj57611o7hxv1x9fq7w].[sum:Confirmed:qk]"


"[federated.1abjkwj10sj57611o7hxv1x9fq7w].[sum:Active:qk]"


"[federated.1abjkwj10sj57611o7hxv1x9fq7w].[sum:Recovered:qk]"


"[federated.1abjkwj10sj57611o7hxv1x9fq7w].[sum:Deaths:qk]"



































0
[04-21-2020.csv]

Count
true

"UTF-8"
"en_US"
","
"true"
"en_US"
""



FIPS
20
[FIPS]
[04-21-2020.csv]
FIPS
0
integer
Sum
true


Admin2
129
[Admin2]
[04-21-2020.csv]
Admin2
1
string
Count
1
1073741823
true



Province_State
129
[Province_State]
[04-21-2020.csv]
Province_State
2
string
Count
1
1073741823
true



Country_Region
129
[Country_Region]
[04-21-2020.csv]
Country_Region
3
string
Count
1
1073741823
true



Last_Update
135
[Last_Update]
[04-21-2020.csv]
Last_Update
4
datetime
Year
true


Lat
5
[Lat]
[04-21-2020.csv]
Lat
5
real
Sum
true


Long_
5
[Long_]
[04-21-2020.csv]
Long_
6
real
Sum
true


Confirmed
20
[Confirmed]
[04-21-2020.csv]
Confirmed
7
integer
Sum
true


Deaths
20
[Deaths]
[04-21-2020.csv]
Deaths
8
integer
Sum
true


Recovered
20
[Recovered]
[04-21-2020.csv]
Recovered
9
integer
Sum
true


Active
20
[Active]
[04-21-2020.csv]
Active
10
integer
Sum
true


Combined_Key
129
[Combined_Key]
[04-21-2020.csv]
Combined_Key
11
string
Count
1
1073741823
true































[Country_Region]
[Province_State]










FIPS
20
[FIPS]
[Extract]
FIPS
0
04-21-2020.csv
integer
Sum
2864
true


Admin2
129
[Admin2]
[Extract]
Admin2
1
04-21-2020.csv
string
Count
1126
true



Province_State
129
[Province_State]
[Extract]
Province_State
2
04-21-2020.csv
string
Count
111
true



Country_Region
129
[Country_Region]
[Extract]
Country_Region
3
04-21-2020.csv
string
Count
146
true



Last_Update
135
[Last_Update]
[Extract]
Last_Update
4
04-21-2020.csv
datetime
Year
17
true


Lat
5
[Lat]
[Extract]
Lat
5
04-21-2020.csv
real
Sum
2986
true


Long_
5
[Long_]
[Extract]
Long_
6
04-21-2020.csv
real
Sum
2986
true


Confirmed
20
[Confirmed]
[Extract]
Confirmed
7
04-21-2020.csv
integer
Sum
468
true


Deaths
20
[Deaths]
[Extract]
Deaths
8
04-21-2020.csv
integer
Sum
156
true


Recovered
20
[Recovered]
[Extract]
Recovered
9
04-21-2020.csv
integer
Sum
155
true


Active
20
[Active]
[Extract]
Active
10
04-21-2020.csv
integer
Sum
440
true


Combined_Key
129
[Combined_Key]
[Extract]
Combined_Key
11
04-21-2020.csv
string
Count
3099
true










"Antigua and Barbuda"


"Cameroon"


"Ecuador"


"Guyana"


"Kyrgyzstan"


"Namibia"


"Russia"


"Syria"


"Bolivia"


"China"


"Cruise Ship"


"Gambia"


"Madagascar"


"Mauritius"


"Papua New Guinea"


"Somalia"


"United Kingdom"


"Bulgaria"


"Denmark"


"Greece"


"Italy"


"Kazakhstan"


"Mongolia"


"Poland"


"Sudan"


"Venezuela"


"Iran"


"Australia"


"Bahrain"


"Chile"


"Eritrea"


"Liechtenstein"


"Nicaragua"


"San Marino"


"Timor-Leste"


"Argentina"


"Canada"


"Egypt"


"Haiti"


"Latvia"


"Nepal"


"Rwanda"


"Taiwan*"


"Algeria"


"Burkina Faso"


"Djibouti"


"Grenada"


"Kenya"


"Montenegro"


"Portugal"


"Suriname"


"Vietnam"


"US"


"Benin"


"Cote d'Ivoire"


"Hungary"


"Ireland"


"Malta"


"Pakistan"


"Slovakia"


"Afghanistan"


"Bosnia and Herzegovina"


"Cuba"


"Georgia"


"Jamaica"


"Mexico"


"Paraguay"


"South Africa"


"Uruguay"


"Belgium"


"Congo (Kinshasa)"


"Fiji"


"Luxembourg"


"Norway"


"Seychelles"


"Spain"


"Turkey"


"Andorra"


"Cabo Verde"


"Dominica"


"Guatemala"


"Malaysia"


"Morocco"


"Qatar"


"Sweden"


"Zambia"


"Austria"


"Bangladesh"


"Equatorial Guinea"


"Estonia"


"Lithuania"


"Niger"


"Saudi Arabia"


"Togo"


"Azerbaijan"


"Barbados"


"Colombia"


"Eswatini"


"India"


"Nigeria"


"Senegal"


"Trinidad and Tobago"


"Belize"


"Costa Rica"


"Finland"


"Iraq"


"Maldives"


"Oman"


"Singapore"


"Bhutan"


"Croatia"


"Gabon"


"Israel"


"Mauritania"


"Panama"


"Slovenia"


"United Arab Emirates"


"Central African Republic"


"El Salvador"


"Germany"


"Holy See"


"Lebanon"


"Netherlands"


"Saint Lucia"


"Tanzania"


"Korea, South"


"Angola"


"Cambodia"


"Dominican Republic"


"Guinea"


"Kuwait"


"Mozambique"


"Romania"


"Ukraine"


"Zimbabwe"


"Brazil"


"Cyprus"


"France"


"Iceland"


"Japan"


"Moldova"


"Peru"


"Uganda"


"Belarus"


"Congo (Brazzaville)"


"Ethiopia"


"Indonesia"


"North Macedonia"


"Serbia"


"Tunisia"


"Armenia"


"Bahamas"


"Chad"


"Honduras"


"Liberia"


"New Zealand"


"Saint Vincent and the Grenadines"


"Thailand"


"Switzerland"


"Albania"


"Brunei"


...
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