2016-new-coder-survey | The raw survey results are located in the raw-data/ | Scraper library
kandi X-RAY | 2016-new-coder-survey Summary
kandi X-RAY | 2016-new-coder-survey Summary
The raw survey results are located in the raw-data/ directory, in .csv format. We have cleaned and combined the data for convenience of downstream analyses and visualizations. The cleaned data is located in the clean-data/ directory.
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QUESTION
I am analyzing 2016 survey data taken by FreeCodeCamp. https://github.com/freeCodeCamp/2016-new-coder-survey
in particular, 2016-new-coder-survey/clean-data/2016-FCC-New-Coders-Survey-Data.csv
I am normalizing a plot by dividing the net recommendation amount (a difference) by the total (#sum of recommendations) for each x-value (Age).
for a few ages, there is zero recommendations, thus I end up dividing by zero and receiving ZeroDivisionError. I've already found a way to do it. but for the sake of learning, how could i accomplish fixing this with an if statement? could you explain what is wrong with the following code?
here is just all my variables, included for completeness.
...ANSWER
Answered 2017-Oct-04 at 03:49You can use if/else in the list comprehension like so (technically we are using a ternary operator):
QUESTION
I am analyzing 2016 survey data taken by FreeCodeCamp1. https://github.com/freeCodeCamp/2016-new-coder-survey
in particular, 2016-new-coder-survey/clean-data/2016-FCC-New-Coders-Survey-Data.csv
for some reason any additional plots I want to add are not displayed. giving the error
...ANSWER
Answered 2017-Oct-03 at 19:14Your problem is not with the number of plots, but with a typo in the call to the fifth plot. As far as I know, there are no limits to the number of plots (besides your own computer's memory I guess)
In your fifth plot, you are calling plt.hist(..., type='bar')
when it should be plt.hist(..., histtype='bar')
as in the first four plots.
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