We offered a massive dataset on Hollywood budgets, genres, review scores for every film from 2007-2011. We asked you to visualise the interesting stories you could find. Here’s what you came up with…
Do yourself a favour: grab a coffee, get comfortable and enjoy these beautiful visualizations.
The Top Most Profitable Movies of 2011 Across 22 Story Types – Cristina Vanko
Nice story flow with good relationships between data explored. Soft colours. Tight design. Beautifully simple.
Spotlight of Profitability – Krisztina Szucs
Interesting approach to visualising the data. At first, we were a bit skeptical. Then we got into it. And had fun exploring the patterns.
Navigating the Universe of Cinematic Opinion – Ben McCrea
We had a few entries matching average audience score against critical scores. Ben plotted this across a nice metaphor – it would make a good interactive.
Hollywood Movies 2011 – Volodymyr Bondar
Sometimes more is more. We liked the journey this infographic took us on. Different angles, different summaries, different datasets. Nice.
Hollywood Movie Studios by Numbers - Yoko Nakano and Steven Ziadie
Oh these number are in a race! Who are the big guys in this story? What were the best years for the movie industry? A quick look will tell you. We liked the clean modern design and the tight focus.
Hollywood Most Common and Profitable Plots – Francesco Villa
Loved the colours and the groupings by story. The bottom section also sings – some interesting patterns there.
Hollywood Budgets – Barinov Tëma
What kind of genres work better for each production company? Who’s bigger than who in worldwide gross? How many movies can they cope with each year? Beautiful tetris-like images vs straight-forward information. One for industry-heads.
Hollywood 2007-2011: Sustainability and Profitability - Deniz Cem Onduygu, Amac Herdagdelen and Eser Aygun
Great opening weekends can be a piece of cake for movies with a millionaire marketing budgets But can they keep people interested? For how long? (By the way, what’s Paranormal Activity doing up there?!)
Blockbusters – Ben Willers
Movies from 2007 to 2011 arranged by budget, worldwide gross and profitability in a beautiful pair of pyramids. The colorful structure helps to compare the numbers while the lower one discloses the movies in each position. $20m is the sweet spot for film budgets apparently.
Does the 80-20 rule work for the film industry? – Caroline Wilson
Are you familiar with the “Pareto principle”? Caroline will clearly explain how to apply the classic 80:20 rule for the movie industry using nothing more, nothing less than piecharts. Yes, they are welcome here : )
Hollywood – Mathew Lucas
This beautiful image makes the multi-billionaire Hollywood industry look like a living organism reduced to a simple cell. Ah, if only…
What’s the story? The most popular stories in Hollywood films 2007/2011 – James Wendelborn
To use “realistic” spatial units when reading a dataset is a really risky choice. Sometimes the metaphor just doesn’t make sense, but James found a creative way to make the image speak by itself.
» submit your viz work to our annual awards and win up to $8000
Hollywood Dataviz Challenge – Design shortlist
We offered a massive dataset on Hollywood budgets, genres, review scores for every film from 2007-2011. We asked you to visualise the interesting stories you could find. Here’s what you came up with…
Do yourself a favour: grab a coffee, get comfortable and enjoy these beautiful visualizations.
The Top Most Profitable Movies of 2011 Across 22 Story Types – Cristina Vanko
Nice story flow with good relationships between data explored. Soft colours. Tight design. Beautifully simple.
Spotlight of Profitability – Krisztina Szucs
Interesting approach to visualising the data. At first, we were a bit skeptical. Then we got into it. And had fun exploring the patterns.
Navigating the Universe of Cinematic Opinion – Ben McCrea
We had a few entries matching average audience score against critical scores. Ben plotted this across a nice metaphor – it would make a good interactive.
Hollywood Movies 2011 – Volodymyr Bondar
Sometimes more is more. We liked the journey this infographic took us on. Different angles, different summaries, different datasets. Nice.
Hollywood Movie Studios by Numbers - Yoko Nakano and Steven Ziadie
Oh these number are in a race! Who are the big guys in this story? What were the best years for the movie industry? A quick look will tell you. We liked the clean modern design and the tight focus.
Hollywood Most Common and Profitable Plots – Francesco Villa
Loved the colours and the groupings by story. The bottom section also sings – some interesting patterns there.
Hollywood Budgets – Barinov Tëma
What kind of genres work better for each production company? Who’s bigger than who in worldwide gross? How many movies can they cope with each year? Beautiful tetris-like images vs straight-forward information. One for industry-heads.
Hollywood 2007-2011: Sustainability and Profitability - Deniz Cem Onduygu, Amac Herdagdelen and Eser Aygun
Great opening weekends can be a piece of cake for movies with a millionaire marketing budgets But can they keep people interested? For how long? (By the way, what’s Paranormal Activity doing up there?!)
Blockbusters – Ben Willers
Movies from 2007 to 2011 arranged by budget, worldwide gross and profitability in a beautiful pair of pyramids. The colorful structure helps to compare the numbers while the lower one discloses the movies in each position. $20m is the sweet spot for film budgets apparently.
Does the 80-20 rule work for the film industry? – Caroline Wilson
Are you familiar with the “Pareto principle”? Caroline will clearly explain how to apply the classic 80:20 rule for the movie industry using nothing more, nothing less than piecharts. Yes, they are welcome here : )
Hollywood – Mathew Lucas
This beautiful image makes the multi-billionaire Hollywood industry look like a living organism reduced to a simple cell. Ah, if only…
What’s the story? The most popular stories in Hollywood films 2007/2011 – James Wendelborn
To use “realistic” spatial units when reading a dataset is a really risky choice. Sometimes the metaphor just doesn’t make sense, but James found a creative way to make the image speak by itself.
» submit your viz work to our annual awards and win up to $8000