__STYLES__

About this project

The visualization was developed for the Onyx Data #DataDNA dataset challenge.

Plan:

As the Plan was to provide a clean and single-page report with an overview of Netflix , I tried to focus on • Telling a progressive story with a structure, tiles
• Clear in terms of visuals, consistent color palette, and legibility of any text

Approach:

I used a dark theme color palette, to resonate with users of the Netflix brand when they see the report. I split the report into three sections – releasing trends, content generation by countries, leading genre, and ratings. I used the Gestalt principles of proximity and symmetry in creating tiles to make the user see the related visuals together.
In terms of the data, I have filtered out all 2021 data, as the date is not present for the whole year.

Key Questions:

• What are popular days to release shows?
• What formats are most popular?
• Which countries are producing the most shows?
• What genre shows are most produced?

Key Insights:

• Number of shows added per year has significantly increased from 2015, with 2019 being the year with the highest releases.
• Movies take up 69% of the content while TV shows account for 31%. No wonder why people prefer shorter formats to get their entertainment.
• US produces more content followed by India and UK.
• Friday tops the number of releases on Netflix followed by Thursday. People want to relax towards the weekend and Netflix targeting to release more numbers based on viewers' preferences.
• Most titles (40.8 %) are available for adults with TV-MA ratings.
• Dramas and Comedies Genre are the most produced content on Netflix.

Discussion and feedback(0 comments)
2000 characters remaining
Cookie SettingsWe use cookies to enhance your experience, analyze site traffic and deliver personalized content. Read our Privacy Policy.