#MakeoverMonday | Data Visualization | Tableau

#Makeover Monday wk 32 – How Much Countries Spends on R&D

For #MakeoverMonday week 32, The makeover viz was about how much countries spends on Research & Development and the original viz was shared on HowMuch.net

Here is the original viz :

Original Image

Data is available on data.world and source of data was UNESCO Institute for Statistics

Whats good?

  • Clear Legends on specifying what color in the circle means in terms of spends
  • Design is eye-catching with too much of information for an individual to understand
  • Source of data is mentioned
  • Title which is self explanatory about the viz

Here is what I did:

  • After trying various methods to visualize this data, I finalize one approach of showing Top 10 countries by spends
  • Additionally I wanted show trend on spends by this countries and also compare 2 years i.e. 2015 vs 2014 to show the increase in spends by countries on R&D (Exception was India as dataset didn’t have 2012 to 2014 data)
  • While building the viz and trying to figure out visualization I came across this viz from Rody Zakovich and tried to replicate the similar design.

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 31: Dynamic Color Legend

This month is community submission month where each week one of the community submission will be pick for challenge , this week #workoutwednesday challenge is set by Sean Miller and it was about dynamic sheets + dynamic color legends on selection of particular parameter from the dashboard. This dashboard has parameter which will show choropleth map with legends on one selection while bar chart on other selection without legend.

Requirements: 

  • Dashboard size: 800 x 800. Total sheets are part of the challenge.
  • Allow users to select between sales and profit as the measure.
  • The map should have the corresponding measure on color.
  • When the map is active, the color legend and min/max values should show. When subcategory is active the legend and values show be hidden.
  • The color legend should be a stacked bar.
  • The title should update appropriately.

Data for the workout can be downloaded from here

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

It took me time to understand the requirement and figure out the way to design the visualisation. lookup() & windows functions did help a lot to build this requirement

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

Step 1: Create parameters for the visualisation

View by: For Measure selection

What do you want analyze? : To select State or Sub-category

Step 2: Create an calculated fields required for visualisation

ViewBy: To select the measures on parameter selection

selection: To select the sheet to show or hide on basis of “What do you want to analyze?”

State – Label: This is for max/ min legend

Step 3: Create different sheets for the requirements

Map:

Select State from dimension tab and ViewBy in measures then select Choropleth Map from show me to create the visualisation

Now drag selection field to filter –> select all values –> atmost 1

then right click on both the parameters and select show parameter control with this we have this screen:

Bar: 

Drag Viewby field in column shelf and sub-category to rows shelf then right click both parameters to show parameters control on the sheet. Now, Drag selection field into filter –> select all values –> atleast 2

Legend:

Select State from dimension to column shelf then ViewBy field to color shelf. (unselect show headers)

Now drag selection field to filter –> select all values –> atmost 1

Min:

Select State-Label field and drag to text in the sheet and then set measure value as minimum

Now drag selection field to filter –> select all values –> atmost 1

Max: Repeat same steps like Min sheet just change the measure value to maximum

Step 4: Create the Dashboard

Drag the vertical objects to the blank dashboard then drag Map and Bar sheet to dashboard then align the other 3 sheets (Min, Legend and Max) on the top right side corner below the parameters

Now we are ready with final visualization.

Click here for Tableau file

Thanks Sean Miller 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 31 – Big Mac Index

For #MakeoverMonday week 31, this week’s makeover viz was about The Big Mac Index by The Economist. This index was based on “Big Mac Hamburger” price across various countries where it is sold to analyse the purchasing power parity.

Here is the original viz :

Data is available on data.world and source of data was The Economist

Whats good?

  • Clear Legends showing price of Jul’17 and Jan’18 along with Price of Big Mac price in US Dollar
  • Zero reference line to see the difference and sorting the countries with latest prices
  • Sub-titles explaining the overvalued and undervalued with signs along with caveats

Here is what I did:

  • Rather then using price of last 2 years, I selected price of last 10 years starting Jul’2009 and used only July prices for all the years
  • Designed an jitter plot to show the plot the country wise price variation in comparison to US price
  • Interactive tooltip to show Big Mac price in various countries with there overvalued and undervalued against US dollar and highlight option to select a country for trend

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

Click here for Tableau file

Thanks Eva Murray & 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 | Stats | Tableau

#Workoutwednesday wk 30: STATISTICAL SIGNALS IN SUPERSTORE SALES

This week #workoutwednesday challenge was set up by Ann Jackson. It was slightly difficult challenge as this week it was about finding signals or patterns in data with use of control chart. It was more about finding statistical signals using standard deviations and mean/ medians with signals to indicate change in pattern or trend or finding an outlier within the dataset. This is good way to analyze the data and get statistical insights/ signals from the data about pattern and behavior.

Requirements: 

Available here

Data for the workout can be downloaded from here

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

It took me time to understand the requirement and figure out the way to design the visualisation. lookup() & windows functions did help a lot to build this requirement

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

Step 1: Create 2 parameters for the requirement

Select a Middle line: This parameter to provide drop down option for either median or mean

Select A Test: This parameter to select the type of test we want to perform (outliers, Trend or change)

Step 2: Create the calculated fields required for the visualisation

Middle Line: This field is based on parameter “SELECT A MIDDLE LINE” and based on selection we will have either median or mean of sales

 

+3SD: This field is to calculate + 3 standard deviation based on middle line

-3SD: This field is to calculate – 3 standard deviation based on middle line

TEST – Outliers: Boolean field to highlight the outliers in the dataset i.e. if the sales value is either above +3SD or -3SD

 

TEST – TREND: Boolean field to highlight the trend whether current sales > previous month > previous to previous month or current sales < previous month < previous to previous month.

TEST – CHANGE: Boolean field to highlight whether 3 consecutive fields are below or above middle line.

TEST – SELECTION: This field is based on “SELECT A TEST” Parameter and uses above 3 calculated field to show the required value.

Tooltip – Signal: Tooltip to show signal if the sales value matches with any of the parameter selection criteria

Show Text: This is the field to show the necessary text based on parameter selection

STEP 3: There are 3-4 more fields which we need to create but lets start creating data visualisation for first 2 sheets

Drag Order date to column shelf (convert to month)

Drag Sum(sales) and TEST Selection to rows shelf then change it to dual axis followed by sync axis

Drag Middle line, +3SD, -3SD to details in Marks Area

Add a 3 reference lines on the basis of Middle line, +3SD and -3SD

Add Parameter control for Parameters “Select a Middle line” and “Select A TEST”

Then format the sheet as per requirement with tooltips and it will look like following:

Create an new sheet for Text data and drag Show text field to Text

Step 4: Final sheet for Monthly strip chart

For Strip chart, we will need to add following fields into the dataset

TREND: This is boolean field which we will use to highlight the pattern for Trend

CHANGE:This is boolean field which we will use to highlight the pattern for Change

SymbolCOLOR: Based on Parameter selected for the test, this is will return values for the test select and we will use this as also to segregate data into 3 color bucket of blue, amber and orange to show following:

  • Meets the test criteria
  • Part of test pattern

Finally, we will create 3rd sheet with strip chart:

Drag Order date to column shelf (convert to month)

Then Drag symbolColor to color and shape area under Marks area then create the tooltip to show the values

Step 5: Create the Dashboard

Add all 3 sheets into dashboard as per below image:

Now we are ready with visualization with user experience which we wanted to show.

Click here for Tableau file

Thanks Ann Jackson 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 30 – Paid Maternity Leaves

For #MakeoverMonday week 30 and this is my 50th Post, Eva shared the viz on paid maternity leave for various countries including the OECD. This viz shows the weeks of paid maternity leave and average payment rate across maternity leave.

Here is the original viz :

Original Visualization

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

Whats good?

  • Clear sub-titles with explanation what each chart represents
  • Sorted on number of paid weeks of maternity leave
  • Showing how much each country pays for Maternity leave in %

Here is what I did:

  • First thing I observed was that non-european countries has lower paid maternity weeks than european countries. Hence I filtered for non-european countries and remove all european countries
  • Create Ring chart to show the values on Paid maternity weeks of leave and simple one chart solution to display results.
  • Selected hue-circle color palette to show countries with different colors

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

Click here for Tableau file

Thanks Eva Murray 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.