Greetings everybody, I shared this project some months ago: Titanic Data: An in-depth Explanatory Data Analysis - #2 by Ezemonye_Omereji and @Ezemonye_Omereji made some good suggestions on how to make it better so I heeded to his advice and applied all the suggestion gave me.
so here it is and I am open to more suggestions
titanic-data-analysis.ipynb (29.8 KB)
Hi @OlutokiJohn,
Great job on implementing helpful suggestions from @Ezemonye_Omereji and updating your project! 
You have to fix one thing though: re-run all the code cells in your project. Otherwise, they’re unrendered for now.
As for your pictures, once @WilfriedF gave me good advice that I’m still using. I suggest you apply the same approach.
@OlutokiJohn ,
I must say this is great tenacity here 
and I am motivated to see you return the project with a mention 
.
So, you may need to implement notes from @Elena_Kosourova as I am unable to view your plots.
Please keep posted.
oh I am very sorry, the file was too large to be attached, i’d rerun and post again
I’ve made the necessary corrections kindly help me go through it, @Elena_Kosourova too
Thank you
@OlutokiJohn ,
Very well done in achieving your set out goal and I will commend you again for this dedicated time, energy and resources 
.
Firstly, you now have a more factual introduction which I consider good .
I noticed 2 assignment operators “=” sign in one line?
Visualizations are now titled even though some titles were quite long like
could be “Passenger Classes Vs Gender” and, how is this different from
then, this:
could be “Distribution of City Passengers Vs Classes”
and here:
You had more than 3 catplots in trying to answer question 1 with other questions too, and defining a function would’ve been better for code reuse and less code writing.
I think you missed the question-visualization-observation framework in some of your early visualizations but correctly placed in others. Good work.
Conclusion is very impressive and clear.
Keep this energy going. Kudos!
Thank you very much for your comments