Lead: Men are represented seven times more in the nominations of filmmaking roles at the Academy Awards since 2000.
Excel Workbook link and explanation: my spreadsheet tracks the nominations and wins since the 2000s at the Academy Awards. The spreadsheet shows the nominations and wins in the categories of directing, editing and screenwriting. I separated the data into four sets: male nominations, female nominations, male wins and female wins.
Original dataset link
News story/study link and brief explanation: This article from Variety reports that there has been little improvement in the representation of women in non-acting awards at the Academy Awards. The article refers to a report done by the Women's Media Center that women make up 23% of this year's non-acting nominees, a 3% increase from last year. This article relates to my data since I intend to show the difference in nominations in filmmaking roles, and the ratio of female to male nominees.
Sunday, 25 February 2018
Monday, 19 February 2018
Sunday, 11 February 2018
Data Update 1
1. What dataset will you use for your final report?
I will be using this search filter for finding data of Oscar nominations and wins. I plan to search for all nominees and winners in the categories screenwriting, directing and editing from the year 2000 onward.
2. Describe the dataset. What kind of data does it contain?
The data is customized to the search filters that are applied. For what I want to find out, I ran two searches: all females - nominees and winners - in the aforementioned categories between my time period and the same search but for males. Unfortunately, the data sets only come up as PDFs, so I have to manually transcribe the data into an excel sheet.
3. Is there anything about your data that you don’t understand? (i.e. what a column heading means). How will you find this out?
The data is a pretty simple set since I can customize it to what I want to know. The only issue with the data is that if a group of people is nominated together, males can show up on the female data and vice-versa. I therefore have to take the extra step to search any unisex names to confirm the gender. I also have to be careful about if there are any nominees/winners outside of these two genders. So far this has not come up in the data, which could be an interesting point as well.
4. What are some questions you hope to answer with your data? List at least three. (you don’t need the answers at this point)
I will be using this search filter for finding data of Oscar nominations and wins. I plan to search for all nominees and winners in the categories screenwriting, directing and editing from the year 2000 onward.
2. Describe the dataset. What kind of data does it contain?
The data is customized to the search filters that are applied. For what I want to find out, I ran two searches: all females - nominees and winners - in the aforementioned categories between my time period and the same search but for males. Unfortunately, the data sets only come up as PDFs, so I have to manually transcribe the data into an excel sheet.
3. Is there anything about your data that you don’t understand? (i.e. what a column heading means). How will you find this out?
The data is a pretty simple set since I can customize it to what I want to know. The only issue with the data is that if a group of people is nominated together, males can show up on the female data and vice-versa. I therefore have to take the extra step to search any unisex names to confirm the gender. I also have to be careful about if there are any nominees/winners outside of these two genders. So far this has not come up in the data, which could be an interesting point as well.
4. What are some questions you hope to answer with your data? List at least three. (you don’t need the answers at this point)
- What is the ratio of men/women nominated for "creator" roles since 2000?
- Are women simply not winning, or are they not being nominated?
- Has there been an improvement in the diversity of representation over time?
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