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Fiverr Pro
English
$
USD
I will do python data cleaning and matplotlib visualization
Python Web App Developer
Hi, I'm a Python Developer from India.
I build custom Resume Maker Web Apps using Python and Streamlit. These apps let you create professional PDF resumes and download them instantly.
What I offer:
...
About this Gig
Messy CSV files? I'll clean them & plot them
I'm a Python Data Analyst. I turn your raw, duplicate-filled datasets into clean files + beautiful Matplotlib charts using Pandas.
WHAT YOU GET:
Data Cleaning: Remove duplicates, fix nulls, handle outliers, correct types
Pandas Analysis: Group, merge, pivot to find trends
Matplotlib Charts: Bar, Line, Pie, Histogram, Scatter - custom styled
Deliverables: Clean CSV + PNG charts + Commented Jupyter Notebook
FOR: E-commerce sales, Student projects, Startups, Survey data, Financial reports
WHY ME:
2+ Years with Pandas & Matplotlib
Code with comments so you learn
100% Confidential - files deleted post-delivery
Free sample chart before you order
PACKAGES:
Basic $20: Up to 10k rows & 2 plots
Standard $45: Most Popular - 50k rows, 5 charts + Notebook
Premium $90: Business reports - 200k rows, 8+ charts, Dashboard style
BEFORE ORDERING:
Message me: 1. Your CSV file 2. Charts needed 3. Deadline
I'll send a FREE sample plot first.
Let's clean that data!
My Portfolio
FAQ
Can you handle large datasets over 10k rows?
Yes. Standard handles 50k rows, Premium handles 200k rows. Fiverr's dropdown is limited but I work on bigger files. Just pick the right package.
Will you provide the Python source code?
Yes, Standard & Premium include a fully commented Jupyter Notebook .ipynb file so you can rerun everything.
What if I need extra charts after delivery?
Use the "Additional Chart" extra for $5 per chart. Or message me for a custom offer.
Is my business data safe with you?
100%. Your data is confidential. I delete all files after delivery. NDA available on request.
Can you make charts in my brand colors?
Yes! Send me your brand hex codes in requirements. I'll match the Matplotlib styling.
