My main motive was to first attract the viewer my giving the essence of the dashboard at first glance. Next, I tried to summarize the change from 1989 to 2018 via a dumb-bell graph which clearly conveys the trend supported by the annotated relevant values.
I welcome suggestions – connect with me on twitter (@viraj155) to share your visualizations!
In pursuit of digging deeper into the world of data visualization I follow a simple self devised philosophy – Proficiency on any tool is a result of one’s technical know-how coupled with hands on experience with the tool.
To that end I’ve started following Workout Wednesday. Just like Makeover Monday this is yet another platform to squeeze out Tableau functionalities that facilitate a sophisticated and comprehensive solution to modern day data centric business problems.
In contrast to Makeover Monday – this exercise tests your experience with tableau instead of focussing on the visual cues. I have been following Tableau Zen Masters to pick pointers that help me solve these weekly vizzes. To get my hands dirty I began with visualizations from Workout Wednesday archives.
Lets get to the visualization. Requirements:
Dashboard size: 1100 x 900; 4 sheets tiled
Create a scatterplot of Sales vs. Profit with Segment on color
Create BAN of total marks, total sales, total profit
Include supporting information (min, max, slicing information)
Create controls that allow the user to
Change how the data is sliced (scattered)
Separate out segments to different rows
Separate out years to different columns
Add or remove reference lines
Match titles of each axis
Match tooltips
BANs should respond to selection inside of the scatterplot
Don’t forget the color legend & line formatting!
The data for this exercise can be downloaded from here.
This has been the toughest Tableau Viz challenge for me so far. This literally was brain wrecking!
Click here to view the visualization on Tableau Public – Recommended
This dashboard focusses on condensing important KPI’s into ‘Discovery Dashboard’ of sorts. It can help end users/clients get an insight into the performance and trend or seasonality of a company’s data.
Onwards to exploring and creating solutions with DATA!
Data Vizardry 