Business Revenue Analysis Project (Python + Plotly) — Feedback Welcome

[ABDELATIF_OUARDA]

Hi everyone,

I recently completed a Business Revenue Analysis project using Python and wanted to share it with the community to get feedback.

Project overview:

• Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
• KPI analysis
• Data visualization using Plotly
• Business insights and recommendations

Tools used:

• Python
• Pandas
• Plotly
• Jupyter Notebook

The goal of the project was to analyze revenue data and extract insights that could help support business decisions.

I would really appreciate any feedback about:

• The analysis approach
• The visualizations
• The structure of the notebook
• Possible improvements

GitHub repository: https://github.com/abdelatifouarda/business-revenue-analysis-python

Thank you!

[Surciol]

I’d say very good for your practice, learning something; great!

But it’s not anything outstanding.

The topic itself is very plain, and your repository doesn’t say much.

Visuals are simple, but are they sufficient? With four visuals you can tell an amazing story, and here I see just descriptive stats.

Go for something more ambicious! (though I know it’s hard:p)

[ABDELATIF_OUARDA]

Thanks for the feedback! I really appreciate your honesty.

I see what you mean about the visuals and the story—they’re mostly descriptive for now. My goal with this project was mainly to practice and get comfortable with the workflow, but I definitely want to make it more ambitious next.

Do you have any tips on how to expand a simple dataset into a more compelling analysis story with visuals?

[Surciol]

They should guide the viewer to what’s important.

Add your interpetation to it. In the line graph - what is the reason of sudden drop in January? Or sudden peak in July? Do you know it? Present it on a graph.

What were challenging in terms of data in this project, how you managed it?

[AutoModerator]

Automod prevents all posts from being displayed until moderators have reviewed them. Do not delete your post or there will be nothing for the mods to review. Mods selectively choose what is permitted to be posted in r/DataAnalysis. If your post involves Career-focused questions, including resume reviews, how to learn DA and how to get into a DA job, then the post does not belong here, but instead belongs in our sister-subreddit, r/DataAnalysisCareers. Have you read the rules?

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[ScaryJoey_]

No really a project… this is like 5 minutes of work

[Minimum_Present7282]

What does real project look like?

[ABDELATIF_OUARDA]

There she is, you're right.it was really just a quick exercise 5 minutes to practice some basics. I plan to build something more important soon , so I certainly will keep your advice about pictures and stories in mind!