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I have selected 2016 responses. First clear who are not involve for the question. It is 130065896. Hence,
I have excluded and clean the data set initially.
Following is how the excluding happened.
Analysis was carried out and figure out the behavior of some of popular programming languages as per
the google search results.
Python
Java
C++
Java,android
C#
C++
Java
C.C++
Then started visualizing 2017 stack overflow user results.
As same as 2016 anaysis, it was a mandatory requirement to clean the data available.
After remove “N/A” values, then I have started the same analysis as previously.
Starting with Java
Python
Data explained in the context of Python Is another aspect for more depth visualization the same data
set. Following screenshot is available for the same data sets for python.
Further analysis was carried out to figure out 2018 data. Same as previously data set was cleaned
initially.
At exclusion of N/A values following Excluded
Same as some programming languages was concerned
C#
Python
Data explained for the python was visualized as below.
Further analysis was carried out to visual the associated programming languages with python. Following
is the visualize for the same.
2019 Analysis was conducted as same. As usual scenario was found. Same as the process and clean the
unnecessary data.
After excluding, conducted same programming languages and following visualization was pictured.
Python
Further analysis was carried out to visualize the python data set.

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What is the programming language you need to learn

  • 1. I have selected 2016 responses. First clear who are not involve for the question. It is 130065896. Hence, I have excluded and clean the data set initially. Following is how the excluding happened.
  • 2. Analysis was carried out and figure out the behavior of some of popular programming languages as per the google search results. Python Java
  • 6. C.C++ Then started visualizing 2017 stack overflow user results. As same as 2016 anaysis, it was a mandatory requirement to clean the data available.
  • 7. After remove “N/A” values, then I have started the same analysis as previously. Starting with Java Python
  • 8. Data explained in the context of Python Is another aspect for more depth visualization the same data set. Following screenshot is available for the same data sets for python.
  • 9.
  • 10. Further analysis was carried out to figure out 2018 data. Same as previously data set was cleaned initially.
  • 11. At exclusion of N/A values following Excluded Same as some programming languages was concerned
  • 12. C#
  • 13.
  • 14.
  • 15. Python Data explained for the python was visualized as below.
  • 16. Further analysis was carried out to visual the associated programming languages with python. Following is the visualize for the same.
  • 17. 2019 Analysis was conducted as same. As usual scenario was found. Same as the process and clean the unnecessary data. After excluding, conducted same programming languages and following visualization was pictured.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. Further analysis was carried out to visualize the python data set.