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InfluxDB
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This was my submission to the [TidyTuesday](https://github.com/rfordatascience/tidytuesday) challenge this week ([see my original Twitter post here](https://twitter.com/MrPecners/status/1526761640410095622)). * Tools used: I built this with R using the {wordcloud2} package, which itself uses the [wordcloud2.js library](https://github.com/timdream/wordcloud2.js/).* **Code**: https://github.com/Pecners/tidytuesday/blob/master/2022/2022-05-17/final_plot.R* **Data source**: This data was scraped from the Eurovision website by Tanya Shapiro (Twitter: @tanya_shapiro). You can access the data on TidyTuesday's repo [here](https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-05-17/eurovision.csv).I honestly don't know much about the history of Eurovision, but it seems there was only a final round up until 2004. In any case, that's how the data was provided. Therefore, there are more songs per year from years since 2004.To process the title text, I removed stopwords from 15 languages, and I removed leading apostrophes (e.g. l'amour became amour).
This was my submission to the [TidyTuesday](https://github.com/rfordatascience/tidytuesday) challenge this week ([see my original Twitter post here](https://twitter.com/MrPecners/status/1526761640410095622)). * Tools used: I built this with R using the {wordcloud2} package, which itself uses the [wordcloud2.js library](https://github.com/timdream/wordcloud2.js/).* **Code**: https://github.com/Pecners/tidytuesday/blob/master/2022/2022-05-17/final_plot.R* **Data source**: This data was scraped from the Eurovision website by Tanya Shapiro (Twitter: @tanya_shapiro). You can access the data on TidyTuesday's repo [here](https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-05-17/eurovision.csv).I honestly don't know much about the history of Eurovision, but it seems there was only a final round up until 2004. In any case, that's how the data was provided. Therefore, there are more songs per year from years since 2004.To process the title text, I removed stopwords from 15 languages, and I removed leading apostrophes (e.g. l'amour became amour).
This was my submission to the [TidyTuesday](https://github.com/rfordatascience/tidytuesday) challenge this week ([see my original Twitter post here](https://twitter.com/MrPecners/status/1526761640410095622)). * Tools used: I built this with R using the {wordcloud2} package, which itself uses the [wordcloud2.js library](https://github.com/timdream/wordcloud2.js/).* **Code**: https://github.com/Pecners/tidytuesday/blob/master/2022/2022-05-17/final_plot.R* **Data source**: This data was scraped from the Eurovision website by Tanya Shapiro (Twitter: @tanya_shapiro). You can access the data on TidyTuesday's repo [here](https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-05-17/eurovision.csv).I honestly don't know much about the history of Eurovision, but it seems there was only a final round up until 2004. In any case, that's how the data was provided. Therefore, there are more songs per year from years since 2004.To process the title text, I removed stopwords from 15 languages, and I removed leading apostrophes (e.g. l'amour became amour).