Hi Data quest friends,
This is my guided project in the Data science track (data visualisation).
It would be great to receive feedback and comments on the following:
- Overall flow / story telling
- Data analysis
- Effective usage: Data visualisation techniques
- Effective usage: Pandas
Link to the Guided Project Lesson
My Jupyter notebook file below:
Click to View the Jupyter Notebook
Hello @shas ,
I recently completed a similar project, and it was an exciting experience to go through yours. I love the conciseness of your introduction, including the Dataset information segment. You did not use too many words, yet you conveyed precise details about the dataset .
You used informative visualisations with well-captured observations that led to the next steps in your analysis. I also admired how you pinned down the exact days in July where the drop in traffic activity was observed .
I think you did this very well, and I would love to make some additional suggestions based on some of my observations:
- You could consider importing all your libraries into one code cell before commencing your analysis. (I noticed you imported your visualisation libraries much later after importing pandas).
- This might be a matter of personal taste, but you could limit many of your dataframe outputs by displaying only the head. Your graphs already do a fantastic job of telling us the story behind the numbers
- The notebook starts from
cell 225, haha. I believe this must have been an oversight, but a quick restart of all the cells should fix this.
Again I want to say well done; I couldn’t help but notice the well-informed and straightforward conclusion. Cheers to learning more on the platform
Thanks @israelogunmola for the constructive feedback. I will incorporate your suggestion as it fits.
Just went through your project share post, and I have bookmarked it for the high quality visual presentation - You have done an amazing job - As they say
Picture speaks a thousand words
You are right in terms of curiosity and learning through these projects - It’s akin to investigative journalism.
I cannot agree more
Thank you for going through my project and sharing some feedback. I look forward to more interactions through your projects.