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‎.Rhistory

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# "Open the app"
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library(tidyverse)
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# Spreadsheet-like viewer
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View(diamonds)
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# Stats are R's jam
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summary(diamonds)
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diamonds %>%
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group_by(cut) %>%
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summarise(avg_price = mean(price)) %>%
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arrange(desc(avg_price))

‎advancing-into-analytics-london-meetup.pptx

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‎datasets/ais/ais.xlsx

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‎datasets/ais/readme.md

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‎datasets/baseball.xlsx

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‎datasets/census/census-data-prep.R

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‎datasets/census/census-divisions.csv

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