#100DaysOfCode in Python Transcripts
Chapter: Days 37-39: Using CSV data
Lecture: Your turn: Day 1
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Now that you know all about working with CSVs,
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it's time to do some data journalism.
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You're going to come up with an amazing question,
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and find a data set, and answer some questions about it.
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So, let's get you the steps here.
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First day is, you're basically done with the first day.
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It's more or less to watch the videos,
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but the final thing to do, I hope you're inspired,
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is to head over to the GitHub repo,
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fivethirtyeight/data.
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And sort of look through there
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and find one of the data sets that looks interesting to you,
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and think about answering some questions.
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So, here's what an example of that may look like.
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Alright, so you might want to write these three things down.
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So, here's the goal, is, I found,
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maybe I should put data set first in terms of the order,
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but I found this data set on
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where you live in the United States
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you eat different things on the U.S. holiday Thanksgiving.
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So, if you live in the American South,
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you'd have one type of thing,
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if you live in the North, in like the Northwest,
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you eat something different.
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It also varies by income, so pretty interesting.
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So, you go over here and the goal is going to be to predict,
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you know, ask two questions of the user,
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and then predict what they have for Thanksgiving.
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So, you ask them where do they live
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and how much money does their family make,
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and you're going to use this data set to basically,
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generate a set of things they're going to eat, right.
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You're going to eat turkey, and stuffing,
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and mashed potatoes, and things like that.
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And they answer the questions differently,
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that menu that you provide to them might be different.
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So, here's sort of the steps that you need
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to do for those few things, alright.
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I think that's going to be fun.
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You don't write the program on day one.
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You've already watched all those videos
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and listened to me talk,
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so you're goal is to just find the data set
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and have a question.
