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View Code? Open in Web Editor NEW:beginner: Code to help clean and format the 2017 New Coder Survey by freeCodeCamp
:beginner: Code to help clean and format the 2017 New Coder Survey by freeCodeCamp
The datapackage.json
file should be in line with the final cleaned and merged dataset for documentation purposes.
Some individuals left many answers blank so it might be convenient to have a separate data set with individuals who have answered more than xx% number
From the plot, it looks like a general cut off might be to keep people who've answered at least 50% of the survey. This plot is just the second part, so after the data sets have been merged, this threshold may change.
Code to generate the plot:
part2 %>% apply(MARGIN = 1, FUN = function(x) sum(!is.na(x)) / length(x)) %>%
hist(main = "Distribution of Percent of Questions Answered in Part 2",
xlab = "Percent Answered (%)")
04
to 4
4 months
I've removed a couple outliers already, but here I want to add a function to remove other obvious outliers.
A list of some things to look for:
xx.000
, then convert to xx000
(i.e. remove the decimal place)This year, surveyors could select multiple answers for job interests. So to make it easier for interpretation is to convert the text into binary booleans.
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