Game of thrones is an American fantasy drama that has attracted record viewership on HBO and has a broad international fan base. This blog showcases the recreated version of the actual data visualization on the screen time recorded for the Top 100 characters in Game of Thrones from Season 1 to Season 7.

The actual version of the visualization is as follows.

Link to this visualization: https://thenextweb.com/contributors/2017/10/06/data-analysis-reveals-main-character-along-game-thrones/

The recreation was based upon certain factors along with a series of steps to achieve the final visualization.

The replicated version of the visualization using Tableau is as follows.

The entire process was based upon certain factors and various challenges were overcome to obtain the final replication. Some of them are listed below.

• Analyzing the type of chart (in this case, stacked bar chart) being used for the actual visualization.
• Examining the data set and storing the data appropriately into Excel file to be used as the data source.
• Choosing apt measures and dimensions while plotting the stacked bar chart.
• Utilizing the Marks feature in Tableau to adjust the Color, Labels and other attributes.

The goal of the replication was to reach as close as it gets to the actual version of the visualization that figures out the main character in the show according to their screen times.

This study reveals that Jon Snow has been the primary character and viewers might see Jon Snow most in the upcoming season 8 as well.

References:

• https://thenextweb.com/contributors/2017/10/06/data-analysis-reveals-main-character-along-game-thrones/

• https://en.wikipedia.org/wiki/Game_of_Thrones

 

 

 

Every year so many children dress up in astounding costumes and show up to grab treats or trick people. The count of trick-or-treaters has been recorded in 30-minute intervals and this data has been tracked from 2008-2018.

A visualization of this data can be seen below which depicts the total number of visitors calculated at 8:15 pm every year. In addition to this, a major impact of the weather conditions(rain%) on 31st October each year is shown as well to develop a relationship between the two data sets.

The visualization above depicts the changing trend of visitors each year. It can be noticed that 2011 observed the highest number of trick-or-treaters which might have been possible due to 0% rainfall on that day. In 2013, most probably due to a higher percentage of rainfall recorded the number of trick-or-treaters was low.

Moreover, a fall in the number of visitors can be seen after 2011 till 2013 in contrast with the raise in the rain%. The reduced number of visitors from 2017 to 2018 might have also been affected by the higher rain% in 2018.

However, rainfall throughout these years might not have been the only reason to impact the number of visitors but it surely has affected it in some way, along with other external or internal factors.

Thanks for joining me!

Good company in a journey makes the way seem shorter. — Izaak Walton