#MakeoverMonday | Data Visualization | Tableau

#Makeover Monday wk 29 – 2019 – Americans having less Sex

For week 29, #MakeoverMonday we are visualizing the changing frequency of Americans. Original Article was published by @washingtonpost and data is sourced from General Social Survey. Here is the original chart:

Data is available on data.world

Whats Good

  • Title and subtitle for the chart is precise
  • First and last year is highlighted in bold
  • Labels explaining what chart means

What I did:

  • Continued using original line chart as it was simple and crisp
  • Aggregated the frequency into 3 categories from the data
  • Allowed users to highlight Sex Frequency using parameter actions
  • Inspired from design used by Andy’s viz
  • Tooltip to show % response for all years
  • excluded 2012 data as it appeared to be wrong

Here is the gif of the visualisation I created (Click on image to get interactive version):

Click here for Tableau file

Thanks Eva Murray , Sarah Bartlett and Andy Kriebel for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

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#MakeoverMonday | Data Visualization | Tableau

#Makeover Monday wk 28 – 2019 – Seeking Asylum in EU

For this week #MakeoverMonday week 28, we are looking at asylum applications in EU by people outside of EU.

The original viz was published by EASO based on data from Eurostat and it looked like below image:

 

Original
Original Chart

 

Data is available on data.world and source of data was EUROSTATS.

 

Whats good?

 

  • Interactive Map allowing to select countries and year
  • Tooltips providing informative insights
  • Bar charts to show gradual rise on applications
  • Dynamic texts on dashboard

 

Here is what I did:

 

  • Focused on applications received, rejections and positive decisions
  • Chose Donut chart to present data (tried block bar donut but due to lack of time used donut chart) based on country and year
  • Added dynamic text and color to explain the legends

 

Here is the Image of the visualisation I created (Click on image to get interactive version):

 

Capture

 

Click here for Tableau file

Thanks Eva Murray and Andy Kriebel for this workout.

 

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

#MakeoverMonday | Data Visualization | Tableau

#Makeover Monday wk 26 – 2019 – Alcohol Consumption per Capita

This is my first post after a long time, was busy with migration to new country with finding new job, to find house and settling into routine. Here we are with Week 26 for #MakeoverMonday. Today’s viz is about Alcohol consumption per capita by Countries which was shared here.

Original Chart

Data is available on data.world and source of data was World Atlas.

Whats good?

  • Clear Axis label on Y-Axis
  • Simple bar chart with one color
  • Clear Title of the chart

Here is what I did:

  • Filtered this to top 5 countries with highest Alcohol consumption
  • Used Image of bottle in the chart
  • Used Bar chart to show top 5 countries with label

Here is the Image of the visualisation I created (Click on image to get interactive version):

Click here for Tableau file

Thanks Eva Murray and Andy Kriebel for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

#workoutwednesday | Data Visualization | Tableau

#WorkoutWednesday wk 33 – What Customers make up XX% Sales?

Community #WorkoutWednesday challenge this week was set by Donna Coles and it was about Pareto chart with certain twists. Here, Requirement was to create Pareto chart to see what proportion of customers make up sales with an option of sliding parameter and few tooltips to make it user friendly along with ease of understanding.

Requirements: 

  • Dashboard 800 x 800.
  • Selection of the Sales Percentage slider will adjust the highlighted point.
  • Sales Percentage slider should increment in 10s from 10%-90%.
  • % values displayed to 1 decimal point.
  • The Sales Percentage mark highlighted should be the value that is at least the value selected in the slider (eg when 60% is selected, the mark highlighted is 60.1% as the previous mark is 59.9% which is less than the slider value).
  • The tooltips on the curve differ from that on the highlighted mark.
  • The tooltip on the highlighted mark should also indicate the actual number of customers at that point, as well as the total number of customers.
  • Rebuild everything to be identical, matching titles, tooltips, chart formatting.

Data for the workout can be downloaded from here

Here is my output for the challenge (Click on gif for interactive version):

Here are the steps which I undertook to create this dashboard and complete the challenge

Step 1: Create the Parameter as per requirement to select Sales %

Step 2: Create calculated fields required to create the visualisation and calculations

My attempt was to create the dashboard with minimum steps. I created 6 calculated fields + 2 copies of calc fields

% of customers: On X-axis we need to show the running % for distinct customers

% of Sales: on Y-Axis we need to show running % for sales

Customer Point: This field is to show “% of customers” when “Sales %” is >= “% of Sales” field

Dot: Here we will use lookup function to find previous value of “Customer Point”. This field is to circle the position and highlight % of customers basis of % of sales (if 80% sales is selected then to show point at 49.9%)

Fixed Customers: This field to count the distinct number of customers

Sales Point: This field was more of after thought after re-looking at the requirements. This field we will show “% of sales” when “Sales %” is >= “% of Sales” field (if 80% selected then to show 80.1%)

Then, duplicate the “% of customers” and “% of Sales” Field for the purpose of tooltip and format this with 1 decimal point.

 

Step 3: Create the Sheet for the viz

Drag “% of Customers” and “Dot” field to column shelf then drag “% of sales” to row shelf

Select Customer Name and drag that field to details in Marks area then sort the field descending by sales

Select the graph type as “Area chart” for “% of customers” and “Circle” for “Dot” Field

Now, select “Dual Axis” on Dot field on column shelf then synchronize the axis and remove the “Measure Names” from color shelf

select “Grey” color for the area chart and “Black” color for circle Chart

For the reference lines on sales & customer, drag “Customer point” and “Sales Point” to Marks area

Right click on Y-axis and select add reference line, then select sales point from drop down and set as minimum

Similarly, Right click on X-axis and select add reference line, then select Customer point from drop down and set as minimum

Post this step, your viz is ready and will look like this:

Tooltip: drag “% of sales” , “% of customers”, “Fixed customers” into marks area for “Dot” field and additionally we will have distinct count of customer id on the basis customer name then we will modified the tooltip to see our requirement

Format the sheet and clean it up to meet the requirements and add the sheet into dashboard with few cosmetic changes.

And we are ready with final visualization as show above.

Click here for Tableau file

Thanks Donna Coles for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

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#workoutwednesday | Data Visualization | Tableau

#WorkoutWednesday wk 32 – Coloring between the lines

#WorkoutWednesday challenge this week was set by @rosariogaunag and it was about coloring between the lines. Here in this viz challenge, we are going to use Area charts to showcase different colors based the lines along with it has dynamic text + values on dashboard on hover. I like how it covers small things which improves the visualization and makes it tempting & simple for user to understand.

Requirements: 

  • Dashboard size: 800 x 700.
  • Use per capita calculations.
  • You must be able to select data from a specific country or the world itself.
  • You must be able to select between Ecological FootPrint Production and Ecological FootPrint Consumption.
  • The green line should be biological capacity per capita.
  • The red line should be ecological footprint per capita.
  • If the Biological Capacity is greater than the Ecological Footprint, it means that we have a positive reserve and the area between the two lines must be shaded in green.
  • In the opposite case, it means that there is a deficit and the area between the two lines must be shaded in red.
  • When you move the cursor over the graph subtitles should update to the selected year.
  • When you move the cursor over the graph the subtitle of the difference between Capacity and Ecological Footprint should be green if there is a reserve (+) or red if there is a deficit (-) in the year.
  • Rebuild everything to look identical. Make sure you match titles, tooltips, etc.

Data for the workout can be downloaded from here

Here is my output for the challenge (Click on gif for interactive version):

Let me share the steps required to create this visualisation post data is imported into Tableau:

Step 1: Create Parameter to select the type of Ecological footprint “Select EF”

Step 2: Lets create all the necessary calculated fields which we will use in the visualisation

BioCap – This field to derive biological capacity values from the dataset

EcoFootPrint – This field to derive Ecological footprint based on parameter “Select EF”

For the display the color between the lines following calculated fields we need:

Green: To create an area where difference between Biological capacity and Ecological footprint is positive else 0 as value

Red: To create an area where different between Ecological footprint and Biological capacity is positive else 0 as value

White: To create an area where whichever is minimum of biological capacity or ecological footprint is selected as value

Diff: Difference between Biological capacity and Ecological capacity

Display: Label field to show Reserve or deficit based on “Diff” value

Color: Binary field to show different color for “Diff” Value

Step 3: Create First sheet “BioCap”

Drag “Biocap” and “Record” Field to Text area

Drag “country” field to filters then set it to apply for all worksheets using this source and show filters with single dropdown

Drag “Record” field to filters and select Biological capacity as filter

Format the Text based on requirement and arrange them as per following image

Step 4: Create “EcoFootPrint” Sheet

Drag “EcoFootPrint” and “Record” Field to Text area then you will country filter automatically appearing in filters

Drag “Record” field to filters, go to condition tab then select “By Formula” and enter “[Record]= [Select EF]”

Format the text based on requirement and arrange them as per following image:

Step 5: Create “Diff” Sheet

Drag “Diff” and “Display” field to Text and “Color” field to color in marks area then allocate Green color for True and Red for False value

Format the text based on requirement and arrange them as per following image:

Step 6: Create “LineGraph” Sheet

Drag “Year” into column shelf followed by drag “Measure values” into Rows shelf then filter the field by selecting “Red”, “Green” and “White”

Change the chart type to “Area” Chart

Drag “Measure Names” to color shelf and allocate respective color based on field name and we will see following output:

Now drag “Total” field to rows shelf and change the chart into dual axis then select “Line” chart from the Marks area

Drag “Record” field to color shelf and filter shelf then go conditions and apply following formula “Record]=”BiocapPerCap” OR
[Record]= [Select EF]”

Also, change the color for Biological capacity to Green and Ecological footprint to Red for both options of parameter

Step 7: Create “Subtitle” sheet

Drag “Country” and “Year” field to Text area and drag “color” field to color shelf and apply red and green value for true and false value respectively.

Step 8: Create the Dashboard 

Now time comes to create the magic, arrange all the sheets into dashboard and set the size of dashboard as 800 * 700 to look like this:

Then we need to do create action filter on hover, so select Dashboard –> Action –> add action -filter and set the filter on all sheet on the basis of Year

Now do the final aesthetic changes like formatting and tooltips to get the final output as per our requirement

we are ready with final visualization as show above.

Click here for Tableau file

Thanks Rosario Gauna for this workout.

Happy Data Visualisation!!!!

Thanks for visiting this post. Please do let me know your feedback or if you have any questions about the blog do not hesitate to contact me on twitter (@Desaimithun)

Do subscribe to Tabvizexplorer.com to keep receive regular updates.

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