15 Tableau Projects for Beginners to Practice with Source Code

Sample Tableau Projects for Practice with Examples to help you master using the fundamental features and tools in Tableau for any data science project.

15 Tableau Projects for Beginners to Practice with Source Code
 |  BY ProjectPro

With the explosion of data in all industries, the need for user-friendly business intelligence tools to read them has also increased. Around 63,298 companies across the globe are reported to have been using Tableau, according to Enlyft.com. Its easy-to-use features and great compatibility with other software applications has helped  leverage the power of visualization in the IT world.

In the world of analytics, it is extremely important to pick up the skill of storytelling. Storytelling involves showing patterns in a given dataset and then trying to infer actionable insights from the same. With Tableau, the exercise of storytelling has become quite efficient and interesting at the same time. With so much data in hand, business intelligence tools like Tableau aid in giving a direction to the analysis so that one can present the correct inferences from the data.


Big Data Hadoop Project-Visualize Daily Wikipedia Trends

Downloadable solution code | Explanatory videos | Tech Support

Start Project

Tableau is a data visualization tool that can be used across different data-related profiles. These profiles include Data Engineers, Data Scientists, Data Analysts, and Business Analysts, to name a few. The stage at which Tableau can be used may vary from role to role and project to project. Most importantly, the tool is used in the exploration phase, where it showcases vast datasets in different visualizations. On the other hand, Tableau is also used to showcase inferences to end stakeholders and higher management.

15 Sample Tableau Real Time Projects for Practice in 2021

tableau projects ideas

With the need to learn Tableau as part of analytical skillset, it becomes essential to understand where to start and how to start simultaneously. This article is a one-stop solution for all data enthusiasts to understand Tableau and start working on some interesting datasets for tableau projects. The example Tableau projects for practice have been categorized into Beginner, Intermediate, and Advanced Level Tableau project ideas. 

ProjectPro Free Projects on Big Data and Data Science

Beginner Level Tableau Sample Projects Ideas

1) Patient Risk Healthcare Dashboard

This beginner-level Tableau project idea is from the healthcare domain. This can be a part of a Data Analysis or Data Science project based on prediction-related analysis. 

The problem statement here is to analyze a massive dataset of patients in a particular hospital and, based on their information, predict and infer the risk of their health. You should then integrate all this analysis into Tableau for easy consumption of the end-users.  The dataset here has 17 variables for which a thorough analysis has to be done to get details about the patients at risk.

A sample of the dataset is given below for reference:-

Age

Gender

Polyuria

Polydipsia

sudden weight loss

weakness

Polyphagia

Genital thrush

visual blurring

Itching

Irritability

delayed healing

partial paresis

muscle stiffness

Alopecia

Obesity

class

40

Male

No

Yes

No

Yes

No

No

No

Yes

No

Yes

No

Yes

Yes

Yes

Positive

58

Male

No

No

No

Yes

No

No

Yes

No

No

No

Yes

No

Yes

No

Positive

41

Male

Yes

No

No

Yes

Yes

No

No

Yes

No

Yes

No

Yes

Yes

No

Positive

45

Male

No

No

Yes

Yes

Yes

Yes

No

Yes

No

Yes

No

No

No

No

Positive

60

Male

Yes

Yes

Yes

Yes

Yes

No

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Positive

55

Male

Yes

Yes

No

Yes

Yes

No

Yes

Yes

No

Yes

No

Yes

Yes

Yes

Positive

57

Male

Yes

Yes

No

Yes

Yes

Yes

No

No

No

Yes

Yes

No

No

No

Positive

66

Male

Yes

Yes

Yes

Yes

No

No

Yes

Yes

Yes

No

Yes

Yes

No

No

Positive

67

Male

Yes

Yes

No

Yes

Yes

Yes

No

Yes

Yes

No

Yes

Yes

No

Yes

Positive

70

Male

No

Yes

Yes

Yes

Yes

No

Yes

Yes

Yes

No

No

No

Yes

No

Positive

 

sample tableau projects

Source :  powerbi

This project is highly critical, and hence accurate analysis has to be done for the same. Since the dataset is huge for this project, Tableau can be used in two ways. One is where the as-is information is taken, and the same is represented through visualizations and interactive capabilities. Another is where it is used to do exploratory data analysis, and then a model is built on the same to predict the risk for patients with similar health conditions.

One can use variables like age and gender to analyze categorical variables so that the appropriate gender and age category can take more precautions.

Explore Data Engineer Projects to Learn the Plumbing of Data Science

2) Sales Forecast Analysis Dashboard

This sample Tableau project is a part of the Data Analysis and Data Science project since it involves forecasting. The problem statement here is to analyze the data of sales of a company. The main agenda of the project is to infer the past sales numbers of a company and then forecast their sales for the coming quarters and years. The dataset here has three variables for doing the analysis.

A sample of the dataset is given below for reference:-

Store

Type

Size

1

A

151315

2

A

202307

3

B

37392

4

A

205863

5

B

34875

6

A

202505

7

B

70713

8

A

155078

9

B

125833

10

B

126512

 

datasets for tableau projects

Source : Sap

With just three variables in the dataset, it becomes easier to analyze each variable and determine which store and type have given what kind of sales. You can use Tableau for creating simple bar charts on sales forecasts. Once that is done, modeling can be done to forecast the trends of sales in the future.

3) Marketing Campaign Dashboard

An interesting Tableau project idea in the marketing domain that requires a lot of number crunching. The problem statement here is to analyze a dataset of marketing campaigns and visualize the performance of various marketing campaigns. The dataset here has six variables of multiple data types. A sample of the dataset is given below for reference:-

Question

Segment Type

Segment Description

Answer

Count

Percentage

What do you think when an influencer is obviously selling a product?

Mobile

Global results

Is this product cool?

268

0.226

What do you think when an influencer is obviously selling a product?

Mobile

Global results

This is lame

532

0.449

What do you think when an influencer is obviously selling a product?

Mobile

Global results

Get that money!

293

0.247

What do you think when an influencer is obviously selling a product?

Mobile

Global results

Other (comment)

91

0.077

What do you think when an influencer is obviously selling a product?

Web

Web

Is this product cool?

0

0

What do you think when an influencer is obviously selling a product?

Web

Web

This is lame

0

0

What do you think when an influencer is obviously selling a product?

Web

Web

Get that money!

0

0

What do you think when an influencer is obviously selling a product?

Web

Web

Other (comment)

0

0

What do you think when an influencer is obviously selling a product?

Gender

Female voters

Is this product cool?

71

0.165

What do you think when an influencer is obviously selling a product?

Gender

Female voters

This is lame

220

0.51

 

tableau projects examples

Source : Sisense

Marketing Analytics is one of the hottest topics across industries. With Tableau, one can easily analyze large datasets of various contacts and infer which segment type has been performing well. With the count and percentage numbers, a marketing analyst can show the aggregate level data on Tableau through area charts and simple pie charts as well.

Upskill yourself for your dream job with industry-level big data projects with source code

4) Product Availability Dashboard

This project is from the Product domain of the technology industry. The problem statement here is to analyze a dataset of product-related information. The project’s primary goal is to analyze the trends and showcase the availability of any product at any given point in time. The dataset here has 11 variables of different data types. A sample of the dataset is given below for reference:-

 

_unit_id

relevance

relevance:

variance

product_image

product_link

product_

price

product

_title

query

rank

source

url

711158459 

3.67

0.471

<> 

http://www.ebay.com/itm/Sony-PlayStation-4-PS4-Latest-Model-500-GB-Jet-Black-Console-/321459436277?pt=LH_DefaultDomain_0&hash=item4ad879baf5

$329.98

Sony PlayStation 4 (PS4) (Latest Model)- 500 GB Jet Black Console

playstation 4

1

eBay

http://www.ebay.com/sch/i.html?_from=R40&_trksid=p2050601.m570.l1313.TR11.TRC1.A0.H0.Xplant.TRS0&_nkw=playstation%204

711158460

4

0

<>

http://www.ebay.com/itm/Sony-PlayStation-4-Latest-Model-500-GB-Jet-Black-Console-/131467224962?pt=LH_DefaultDomain_0&hash=item1e9c0ea782

$324.84

Sony PlayStation 4 (Latest Model)- 500 GB Jet Black Console

playstation 4

2

eBay

http://www.ebay.com/sch/i.html?_from=R40&_trksid=p2050601.m570.l1313.TR11.TRC1.A0.H0.Xplant.TRS0&_nkw=playstation%204

711158461

4

0

<>

http://www.ebay.com/itm/Sony-PlayStation-4-PS4-500-GB-Jet-Black-Console-/171564913575?pt=LH_DefaultDomain_0&hash=item27f210d3a7

$324.83

Sony PlayStation 4 PS4 500 GB Jet Black Console

playstation 4

3

eBay

http://www.ebay.com/sch/i.html?_from=R40&_trksid=p2050601.m570.l1313.TR11.TRC1.A0.H0.Xplant.TRS0&_nkw=playstation%204

711158462

3.67

0.471

<>

http://www.ebay.com/itm/Sony-PlayStation-4-500GB-The-Last-of-Us-Remastered-Bundle-Black-/261867581805?pt=LH_DefaultDomain_0&hash=item3cf886316d

$350.00

Sony - PlayStation 4 500GB The Last of Us Remastered Bundle - Black

playstation 4

4

eBay

http://www.ebay.com/sch/i.html?_from=R40&_trksid=p2050601.m570.l1313.TR11.TRC1.A0.H0.Xplant.TRS0&_nkw=playstation%204

711158463

3.33

0.471

<>

http://www.ebay.com/itm/Sony-PlayStation-4-PS4-Latest-Model-500-GB-Jet-Black-Console-/121512215166?pt=LH_DefaultDomain_0&hash=item1c4ab1427e

$308.00

Trending at

$319.99

Sony PlayStation 4 (PS4) (Latest Model)- 500 GB Jet Black Console

playstation 4

5

eBay

http://www.ebay.com/sch/i.html?_from=R40&_trksid=p2050601.m570.l1313.TR11.TRC1.A0.H0.Xplant.TRS0&_nkw=playstation%204

 

tableau projects for practices

Source : Datapine

This project is an ideal case in an e-commerce industry where it becomes eessential to know if a particular product is in stock at any given moment or not. With all the variables given at the top, easily you can prepare a dashboard to analyze which product is searched the most and which product has the most stock. With URLs being in the dataset, drills capability can be built for a user to drill to the actual product to have a quick look at it.

Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects

5) Flight Price Analysis Dashboard

This project is from the Airline Industry. The problem statement here is to analyze a dataset of flight-related information. The main objective is to consider different factors of a flight and infer accurate trends for flight prices. The dataset here has ten variables that involve date and time data types as well.  A sample of the dataset is given below for reference:-

Airline

Date_of_Journey

Source

Destination

Route

Dep_Time

Arrival_Time

Duration

Total_Stops

Additional_Info

Jet Airways

6/06/2019

Delhi

Cochin

DEL → BOM → COK

17:30

04:25 07 Jun

10h 55m

1 stop

No info

IndiGo

12/05/2019

Kolkata

Banglore

CCU → MAA → BLR

06:20

10:20

4h

1 stop

No info

Jet Airways

21/05/2019

Delhi

Cochin

DEL → BOM → COK

19:15

19:00 22 May

23h 45m

1 stop

In-flight meal not included

Multiple carriers

21/05/2019

Delhi

Cochin

DEL → BOM → COK

08:00

21:00

13h

1 stop

No info

Air Asia

24/06/2019

Banglore

Delhi

BLR → DEL

23:55

02:45 25 Jun

2h 50m

non-stop

No info

Jet Airways

12/06/2019

Delhi

Cochin

DEL → BOM → COK

18:15

12:35 13 Jun

18h 20m

1 stop

In-flight meal not included

Air India

12/03/2019

Banglore

New Delhi

BLR → TRV → DEL

07:30

22:35

15h 5m

1 stop

No info

IndiGo

1/05/2019

Kolkata

Banglore

CCU → HYD → BLR

15:15

20:30

5h 15m

1 stop

No info

IndiGo

15/03/2019

Kolkata

Banglore

CCU → BLR

10:10

12:55

2h 45m

non-stop

No info

Jet Airways

18/05/2019

Kolkata

Banglore

CCU → BOM → BLR

16:30

22:35

6h 5m

1 stop

No info

 

Source : Sisense

This project allows an analyst to do a lot of exploratory data analysis to understand the pattern of flights with a higher price. With variables like route, one can analyze which routes cost more and also plot trend lines to see if a higher duration flight costs more. Once the pattern is understood,you can also implement models like Random Forest to do predictive analysis.

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization

6) Crime Analysis Dashboard

The problem statement here is to analyze a dataset of various crimes happening at a place. It should also showcase its intensity and provide some excellent action items to prevent them. The dataset here has eight variables . A sample of the dataset is given below for reference:-

Area_Name

Year

Group_Name

Sub_Group_Name

Cases_

Property_

Recovered

Cases_

Property_

Stolen

Value_of_

Property_

Recovered

Value_of_Property_Stolen

Andaman & Nicobar Islands

2001

Burglary - Property

3. Burglary

27

64

755858

1321961

Andhra Pradesh

2001

Burglary - Property

3. Burglary

3321

7134

51483437

147019348

Arunachal Pradesh

2001

Burglary - Property

3. Burglary

66

248

825115

4931904

Assam

2001

Burglary - Property

3. Burglary

539

2423

3722850

21466955

Bihar

2001

Burglary - Property

3. Burglary

367

3231

2327135

17023937

Chandigarh

2001

Burglary - Property

3. Burglary

119

364

1804823

10217378

Chhattisgarh

2001

Burglary - Property

3. Burglary

1169

4144

6518261

30457033

Dadra & Nagar Haveli

2001

Burglary - Property

3. Burglary

10

34

247140

1333389

Daman & Diu

2001

Burglary - Property

3. Burglary

7

43

479300

2084845

Delhi

2001

Burglary - Property

3. Burglary

642

3029

39632177

150033824

 

tableau sample projects

Source : Powerbi

 The above dataset is also an excellent way to start your Tableau journey. With the above variables, Tableau can be used to see which area has the highest number of crime cases. This can be achieved by plotting a treemap on Tableau. Also, year-wise trends can be seen to infer if the cases have come down or have increased. With categorical analysis, numerical data types can also be used to see the intensity of the thefts across years and areas.

Build Professional SQL Projects for Data Analysis with ProjectPro

7)  Air Quality and Pollution Analysis Dashboard

 This project is from the environment protection industry. 

The problem statement here is to analyze a dataset related to different air quality factors and pollution in a particular area. The primary aim is to get an understanding of its causes and take preventive measures. The dataset here has 12 variables for extensive analysis.

A sample of the dataset is given below for reference:-

City

Date

NO

NO2

NOx

NH3

CO

SO2

O3

Benzene

Toluene

Xylene

Ahmedabad

2015-01-01

0.92

18.22

17.15

 

0.92

27.64

133.36

0

0.02

0

Ahmedabad

2015-01-02

0.97

15.69

16.46

 

0.97

24.55

34.06

3.68

5.5

3.77

Ahmedabad

2015-01-03

17.4

19.3

29.7

 

17.4

29.07

30.7

6.8

16.4

2.25

Ahmedabad

2015-01-04

1.7

18.48

17.97

 

1.7

18.59

36.08

4.43

10.14

1

Ahmedabad

2015-01-05

22.1

21.42

37.76

 

22.1

39.33

39.31

7.01

18.89

2.78

 

Air Quality and Pollution Analysis Dashboard

Source Link

Pollution and Air Quality is one of the most important challenges that leaders worldwide are trying to solve. With the above dataset and some knowledge about the similar industry, one can use the numbers of different gases to draw inferences about the composition of air in different cities and across different timelines. One can present the data visually and help the end-user infer from it based on their experience in this industry.

Intermediate Level Tableau Project Ideas

8) Sales Pipeline Dashboard

This project is from the Sales domain of the technology industry. The problem statement here is to analyze a dataset of to understand how the entire sales funnel is moving. The objective here is to help Sales stakeholders understand how they are performing across different revenue segments. The dataset here has 13 variables which also involves currency-related inputs

A sample of the dataset is given below for reference:-

Opportunity ID

Technology

\nPrimary

City

B2B

Sales Medium

Sales Velocity

Opportunity Status

Sales Stage Iterations

Opportunity Size (USD)

Client Revenue Sizing

Client Employee Sizing

Business from Client Last Year

Compete Intel

Opportunity Sizing

 

0

N00000001

ERP Implementation

Bengaluru

Marketing

76

1

13

0

More than 1M

More than 25K

0 (No business)

Unknown

10K or less

1

N00000002

ERP Implementation

Delhi

Enterprise Sellers

63

0

2

0

250K to 500K

More than 25K

0 (No business)

Unknown

10K or less

2

N00000003

Technical Business Solutions

Delhi

Enterprise Sellers

24

1

7

7750

100K or less

1K or less

0 (No business)

Unknown

10K or less

3

N00000004

Technical Business Solutions

Mumbai

Enterprise Sellers

16

0

5

0

100K or less

1K or less

0 (No business)

Known

10K or less

4

N00000005

ERP Implementation

Delhi

Enterprise Sellers

69

0

11

32886

100K or less

1K or less

0 (No business)

Unknown

30K to 40K

 

For the Sales team, understanding their pipeline is of utmost importance. A business intelligence tool like Tableau can make visualizations using a funnel graph to see the entire sales pipeline. With such a view into the data, Sales stakeholders can make key decisions on their next move.

Sales Pipeline Dashboard

Source Link

Here's what valued users are saying about ProjectPro

I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop Admin, Hadoop projects. I have been happy with every project. They have really brought me into the...

Ray han

Tech Leader | Stanford / Yale University

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain hands-on experience and prepare for job interviews. I would highly recommend this platform to anyone...

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd

Not sure what you are looking for?

View All Projects

9) Stock Exchange Analysis Dashboard

The problem statement here is to analyze a dataset of different stocks and derive meaningful information. This will help other individuals take correct decisions on investment. The dataset here has eight variables of integer data type. A sample of the dataset is given below for reference:-

Index

Date

Open

High

Low

Close

Adj Close

Volume

NYA

1965-12-31

528.690002

528.690002

528.690002

528.690002

528.690002

0

NYA

1966-01-03

527.210022

527.210022

527.210022

527.210022

527.210022

0

NYA

1966-01-04

527.840027

527.840027

527.840027

527.840027

527.840027

0

NYA

1966-01-05

531.119995

531.119995

531.119995

531.119995

531.119995

0

NYA

1966-01-06

532.070007

532.070007

532.070007

532.070007

532.070007

0

NYA

1966-01-07

532.599976

532.599976

532.599976

532.599976

532.599976

0

NYA

1966-01-10

533.869995

533.869995

533.869995

533.869995

533.869995

0

NYA

1966-01-11

534.289978

534.289978

534.289978

534.289978

534.289978

0

NYA

1966-01-12

533.340027

533.340027

533.340027

533.340027

533.340027

0

NYA

1966-01-13

534.400024

534.400024

534.400024

534.400024

534.400024

0

 

Stock Exchange Analysis Dashboard

Source Link

This is one of the projects where the data volume is huge and the data change is very frequent. The Stock Market produces large amounts of data with more room for analysis. One can create various combinations of the area and trend charts to show how the index has been moving and what highs and lows they have made. Also, volume can be visualized with pie charts or bar charts.

Access to a curated library of 250+ end-to-end industry projects with solution code, videos and tech support.

Request a demo

10)  Global Terrorism Analysis Dashboard

The problem statement here is to analyze a dataset of terrorism across the globe and then help different world leaders take corrective actions against any future attacks. The dataset here has 22 variables of different data types. A sample of the dataset variables is given below for reference:-

eventid

integer

iyear

year

imonth

integer

i_yearmonth

yearmonth

iday

integer

approxdate

string

extended

boolean

resolution

date

country

integer

country_txt

string

region

integer

region_txt

string

provstate

string

city

string

latitude

string

longitude

string

specificity

string

vicinity

boolean

location

string

summary

string

crit1

boolean

crit2

boolean

crit3

boolean

doubtterr

boolean

alternative

integer

alternative_txt

string

Global Terrorism Analysis Dashboard

Source Link

This Tableau dashboard above can be used extensively to infer which parts of the world have the most terrorist attacks. Also, with the event dates yearly, you can do analysis using line graphs to see the trend of these attacks. Prediction can be made to prevent any future attacks based on the analysis using Tableau. 

Explore More Data Science and Machine Learning Projects for Practice. Fast-Track Your Career Transition with ProjectPro

11) Covid-19 Analysis Dashboard

The problem statement here is to analyze a dataset of covid cases worldwide and give real-time numbers for various regions. The dataset here has nine variables of different data types.

A sample of the dataset is given below for reference:-

Country/Region

Confirmed

Deaths

Recovered

Active

New cases

New deaths

New recovered

Deaths / 100 Cases

Afghanistan

36263

1269

25198

9796

106

10

18

3.5

Albania

4880

144

2745

1991

117

6

63

2.95

Algeria

27973

1163

18837

7973

616

8

749

4.16

Andorra

907

52

803

52

10

0

0

5.73

Angola

950

41

242

667

18

1

0

4.32

Antigua and Barbuda

86

3

65

18

4

0

5

3.49

Argentina

167416

3059

72575

91782

4890

120

2057

1.83

Armenia

37390

711

26665

10014

73

6

187

1.9

Australia

15303

167

9311

5825

368

6

137

1.09

Austria

20558

713

18246

1599

86

1

37

3.47

 

Covid-19 Analysis Dashboard

Source Link

The Covid-19 pandemic has taken the world for a toss. With so many infections worldwide, it became extremely difficult for the government to measure the intensity of the pandemic. But with analytics and Tableau, various analysts were able to get government verified data and use them to show the real picture of the world. The above dataset is an ideal example of how you can use Tableau to visualize such volumes of data based on categorical or numerical data.

Advance Level Tableau Project Ideas

 12) Credit Card Fraud Detection Dashboard 

The problem statement here is to analyze different credit card transactions and understand the pattern of them to detect anomalies and identify fraudulent transactions. A sample of the dataset is given below for reference:-

esort

grid_3x3V1sort

grid_3x3V2sort

grid_3x3V3sort

grid_3x3V4sort

grid_3x3V5sort

grid_3x3V6sort

grid_3x3V7sort

grid_3x3V8sort

grid_3x3V9sort

0

-1.3598071336738

-0.0727811733098497

2.53634673796914

1.37815522427443

-0.338320769942518

0.462387777762292

0.239598554061257

0.0986979012610507

0.363786969611213

0

1.19185711131486

0.26615071205963

0.16648011335321

0.448154078460911

0.0600176492822243

-0.0823608088155687

-0.0788029833323113

0.0851016549148104

-0.255425128109186

Credit Card Fraud Detection Dashboard 

Source Link

With the increase in credit cards, credit card fraud has also increased. With the above dataset, one can do some exploratory data analysis of different transactions and try and find some pattern in the data. Tableau will be extremely helpful to visualize such complex transactions using boxplots and other methods to identify outliers.

13) Twitter Sentiment Analysis Dashboard

The problem statement here is to analyse a dataset of tweets on Twitter. The main aim is to analyze the sentiment of these tweets and take action accordingly. The dataset here has 20 variables of different data types. A sample of the dataset is given below for reference:-

 

                                         

1

No candidate mentioned

1.0000

yes

1

Neutral

0.6578

None of the above

1.0000

 

⋯

 

5

   

RT @NancyLeeGrahn: How did everyone feel about the Climate Change question last night? Exactly. #GOPDebate

 

07/08/2015 09:54

6.29697e+17

 

Quito

2

Scott Walker

1.0000

yes

1

Positive

0.6333

None of the above

1.0000

 

⋯

 

26

   

RT @ScottWalker: Didn't catch the full #GOPdebate last night. Here are some of Scott's best lines in 90 seconds. #Walker16 http://t.co/ZSfF

 

07/08/2015 09:54

6.29697e+17

   

 

Twitter Sentiment Analysis Dashboard

Source Link

Sentiment Analysis is one of the most common data analytics problems that has been solved for the social media industry. With huge volumes of data as above, an analyst can see the importance and impact of positive and negative comments given across time and various segments of the industry.

Access Data Science and Machine Learning Project Code Examples

14)  Account Management Dashboard

The problem statement here is to analyze a dataset of accounts and present it so that the account managers can easily identify the accounts and manage them easily. The dataset here has five variables for string and integer data types. A sample of the dataset is given below for reference:-

Account

Sales($)

Account Type

Region

No of Soln

Account1

1000

Bronze

India

2

Account2

2000

Silver

EMEA

3

Account3

3000

Gold

APAC

2

Account4

4000

Platinum

US

1

Account Management Dashboard

Source Link

It is crucial for any product based company to have a clear picture of where each of their account and client stands. In the above dataset with just a few variables, one can see how many Platinum, Gold, Silver, and Bronze customers are there using a bar chart in the decreasing order. One can also see how each account is contributing to their overall sales by using a pie chart.

15) Video Industry Dashboard

The problem statement here is to analyze a video dataset and its pattern based on user experience. With such analysis, the objective is to identify the patterns of different human behavior and then target their audiences better. The dataset here has 17 variables of different data types

A sample of the dataset is given below for reference:-

0

2kyS6SvSYSE

17.14.11

WE WANT TO TALK ABOUT OUR MARRIAGE

Casey

Neistat

22

2017-11-13T17:13:01.000Z

SHANtell martin

748374

57527

2966

15954

https://i.ytimg.com/vi/2kyS6SvSYSE/default.jpg

False

False

False

SHANTELL'S CHANNEL - https://www.youtube.com/s...

1

1ZAPwfrtAFY

17.14.11

The Trump Presidency: Last Week Tonight with J...

LastWeek

Tonight

24

2017-11-13T07:30:00.000Z

last week tonight trump

presidency|"last week ...

2418783

97185

6146

12703

https://i.ytimg.com/vi/1ZAPwfrtAFY/default.jpg

False

False

False

One year after the presidential election, John...

2

5qpjK5DgCt4

17.14.11

Racist Superman | Rudy Mancuso, King Bach & Le...

Rudy

Mancuso

23

2017-11-12T19:05:24.000Z

racist superman

|"rudy"|"mancuso"|"king"|"bach"...

3191434

146033

5339

8181

 

False

False

False

WATCH MY PREVIOUS VIDEO â–¶ \n\nSUBSCRIBE â–º http...

 

Video Industry Dashboard

Source Link

 This is another example of a recommendation system where based on a user’s browsing history, they are suggested similar videos to watch. The above dataset is quite complex in a CSV format, but with tableau, one can easily create bar, line, and pie charts to see how users see their video content across regions and timelines. Once the pattern is understood through exploration, machine learning can be used for predicting future behavior.

The above Tableau sample project ideas just serve as a start to your career in enhancing and learning Tableau skills. The best way to go about it is to do hands-on, taking different problem statements from different industries and extensively exploring all variables. Once you have worked on various excellent projects using Tableau, you will be all set to use these skills to solve real-world data science problems.

 

PREVIOUS

NEXT

Access Solved Big Data and Data Projects

About the Author

ProjectPro

ProjectPro is the only online platform designed to help professionals gain practical, hands-on experience in big data, data engineering, data science, and machine learning related technologies. Having over 270+ reusable project templates in data science and big data with step-by-step walkthroughs,

Meet The Author arrow link