Oscar Dashboard

Here is the dashboard representing number of Oscars presented since 1929 (when it was started) till 2014. There is no such strong claim to make from this visualization but instead of just staring at list of Oscar winners, you can play with it for different categories and ratings for each year.

Dashboard: http://www.antivia.com/decisionpoint-excel/samples/oscars.htm

Good things about the visualization:

  • Less is more. The dashboard is simple and clean with two bar graphs and a block calculating percentage distribution.
  • Right choice of idiom. If we want to find what category of films has highest Oscars then bar graph is best suitable. And it is sorted by the number of winners which grabs users attention to the top category of film.
  • Effective use of filters. When it comes to movie, we have different categories, genres, artists, ratings, release year. All of these characteristics are included in this dashboard using filters.
  • Information follows the inverted pyramid. The most important and substantial information is at the first view followed by significant details by applying filters and then general background information.
  • The percentage calculation for each category gives performance of each category with respect to all categories.

Improvements:

  • They could have represented trends in each category over those years. For example, how is the demand for documentaries or animated films for each year.
  • It has many filters however it would be tedious for user to select all those filters and find the required information.

To conclude with, this provides valuable insights into trends in industry throughout the years which is much better that scrolling through the tables with multiple columns and millions of rows!

Source: http://insidebigdata.com/2015/02/21/visualization-week-ultimate-oscars-dashboard/

 

One thought on “Oscar Dashboard”

  1. This is a really good post about the tips we should keep in mind by making dashboards. The points less is more and using the right kind of filters is so apt, since Tableau provides filters for everything. It is essential to identify the right kind of filters and the visualizations we want to depict.

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