Hi, @jithins123. I honestly appreciate your feedback. Believe it or not, this is actually my first project with Python although I have some background with Data Visualization.
I’m glad that you found my report a pleasure to read and I’m keen on exploring failure chances of unsuccessful teams vs individuals too? Although I’m sort of biased with the success chances of teams already . GO Teams!!
You can view the file in nbviewer here. Let me know when you check it.
I have my variable, index =0 because I want the elimination of the last column to begin from the first data row and continue untill it reaches the last row. Remember that Python uses zero-based indexing.
@artur.sannikov96 Thank you so much for your aptly detailed suggestions. You pay great attention to details. I’m really happy to have received your feedback as it will help me get better and build projects that are useful to the community. I’ll definitely put them into consideration on the next review.
@Elena_Kosourova The Data Quest community has been very supportive since I started my journey in Data Science a few months back. I absolutely enjoy my learning experience here. You guys rock!
I just finished the project as well, and I’m in awe of your data visualization!
One minor quibble: In calculating the countries with the greatest chance of success, it looks like you created a ratio of (successful_attempts/unsuccessful_attempts), when it should be (successful_attempts/total_attempts). I don’t know how bar charts handle floats less than 1, so it might end up creating other challenges.
As to your concern, I used the odds ratio to determine the chances of success here. Odds indicate the probability that an event will occur or not. And in this case, the probability that a prison helicopter break attempt will be successful or not.
It would be great to see projects that have done differently on this “chances of success” question.