I'll analyze a dataset about NYC elevators, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-12-06 Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about web page metrics, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-15 Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about horror movies, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-01 Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about Bigfoot, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-09-13 Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about LEGOs, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-09-06 Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about computer chips, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-08-23 Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about crossword puzzles, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-04-19/readme.md Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll be broadcasting my attempt to recreate a data visualization. To watch me compete with others, check out nickwan_datasci's Twitch stream. https://www.twitch.tv/nickwan_datasci https://twitter.com/nickwan/status/1498413298529837057

I'll be broadcasting my attempt to recreate a data visualization. To watch me compete with others, check out nickwan_datasci's Twitch stream. https://www.twitch.tv/nickwan_datasci https://twitter.com/nickwan/status/1498413298529837057

I'll analyze a dataset about the World Freedom Index, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-02-22/readme.md Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about the television series Doctor Who, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/blob/master/data/2021/2021-11-23/readme.md Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about registered nurses in the US, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/blob/master/data/2021/2021-10-05/readme.md Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll analyze a dataset about Billboard Top 100 songs, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: https://github.com/rfordatascience/tidytuesday/blob/master/data/2021/2021-09-14/readme.md Code: https://github.com/dgrtwo/data-screencasts Timestamped annotations of specific tricks, tips and tools used: https://github.com/dgrtwo/data-screencasts/tree/master/screencast-annotations

I'll be competing in finals of the SLICED machine learning competition, and I'll use this channel to livestream and narrate my own model-building experience. https://www.notion.so/SLICED-Show-c7bd26356e3a42279e2dfbafb0480073 Watch the actual episode (including the other contestant, live judge commentary, and more) on nickwan_datasci's Twitch here! https://www.twitch.tv/nickwan_datasci

I'll be competing in the SLICED machine learning competition, and I'll use this channel to livestream and narrate my own model-building experience. https://www.notion.so/SLICED-Show-c7bd26356e3a42279e2dfbafb0480073 Watch the actual episode (including the three other contestants, live judge commentary, and more) on nickwan_datasci's Twitch here! https://www.twitch.tv/nickwan_datasci