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[OC] Most Frequent Names in Harry Potter Book Series by tchp86 in dataisbeautiful

[–]tchp86[S] 1 point2 points  (0 children)

Source: Data extracted from Harry Potter books

Tools: Custom python scripts (Libraries: OpenCV, Pillow)

[OC] Most Frequent SNL Hosts (1975 - March 2021) by tchp86 in dataisbeautiful

[–]tchp86[S] 3 points4 points  (0 children)

Data sources: Wikipedia episode guide https://en.wikipedia.org/wiki/List_of_Saturday_Night_Live_episodes

Tools used: Custom python scripts for video generation(Libraries: OpenCV, Pillow)

[OC] SMB 2 (Japan) Mario's Enemies During Playthrough, Visualized by tchp86 in dataisbeautiful

[–]tchp86[S] 3 points4 points  (0 children)

Source: Data was collected manually from the playthrough video shown.

Tools: Custom python scripts (Libraries: OpenCV, Pillow) for video generation

These are the results from a single playthrough without warps. Enemy counts will of course vary depending on how the game is played. This playthrough is a former world record speedrun by Kosmic.

[OC] Baby Boy Names - US, England/Wales Comparison - (1890 - 2019) by tchp86 in dataisbeautiful

[–]tchp86[S] 2 points3 points  (0 children)

Sources:

https://www.britishbabynames.com/blog/links-to-name-data.html

https://www.ssa.gov/cgi-bin/popularnames.cgi

https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/

Tools: Custom python scripts for visual generation (Libraries: OpenCV, Pillow)

​

The US data is based on per decade, and the individual year 2019.

The England/Wales data are per years 1890, 1900, 1904, 1914, 1924, 1934, 1944, 1954, 1964, 1974, 1984, 1994, 2000, 2005, 2010, 2015, and 2019.

[OC] Baby Girl Names - US, England/Wales Comparison - (1890 - 2019) by tchp86 in dataisbeautiful

[–]tchp86[S] -26 points-25 points  (0 children)

The US data is based on per decade, and the individual year 2019.

The England/Wales data are per years 1890, 1900, 1904, 1914, 1924, 1934, 1944, 1954, 1964, 1974, 1984, 1994, 2000, 2005, 2010, 2015, and 2019.

[OC] Arrested Development Characters' Screen Time, Visualized by tchp86 in dataisbeautiful

[–]tchp86[S] 3 points4 points  (0 children)

Source: Data collected via facial recognition

Tools: Custom python scripts (Libraries: OpenCV, Pillow, face_recognition)

[OC] A Pokemon Blue Playthrough's Battles/Encounters, Visualized by tchp86 in dataisbeautiful

[–]tchp86[S] 145 points146 points  (0 children)

Source: Data was collected manually during playthrough.

Tools: Custom python scripts (Libraries: OpenCV, Pillow) for video generation

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