From the course: Vibe Coding for Data Analysts
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Reshaping data
From the course: Vibe Coding for Data Analysts
Reshaping data
- Vibing can take all different shapes. As data analysts, we've seen many CSV vials of standard tabular data where every column is an individual variable and every row is an observation. We also know that sometimes we need to reshape our tabular data to a longer key value pair data format. Reshaping can be especially useful if we want to visualize a few different variables all at once. Let's see if we can vibe code through this problem. We'll want to use the song ID variable as the "index variable" and the sentiment, word count, profanity count, and smog index variables as the on variables. We will want to use the song ID variable as the index variable and the sentiment, word count, profanity count, and smog index variables as the "on variables". Melt the song's data frame so that the song ID is the index and the sentiment, word count, profanity count, and smog index variables are everything else. It looks like we have a good suggestion, so let's keep it and evaluate it. We have our…
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