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I will perform data visualization graph in jupyter notebook using python

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fatima_nasreen
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fatima_nasreen
Nasreen Fatima
perform data visualization graph in jupyter notebook using python
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perform data visualization graph in jupyter notebook using python

About this gig

Welcome to a world of data possibilities!

I will design graphs, charts and plots for Data Analysis and Data Visualization using Python's powerhouse libraries: Pandas, Numpy, Matplotlib, and Seaborn.


Services I Offered:

  • Pandas Tasks with file handling
  • Data Visualization using matplotlib and seaborn
  • Exploratory data analysis
  • Data Wrangling with Pandas
  • Data extraction


Kinds of graph/charts I created:

  • Bar Charts
  • Area Charts
  • Maps
  • Scatter Plots
  • Pie Charts
  • Treemaps
  • Line Charts
  • Heatmaps

 

Your project will be submitted to you with clean code and comments in Jupyter notebook , Google Colab and PYCharm.


Let's create an engaging story with your data.

Thanks!


Note: Please contact with me before placing an order, so that I can better understand your needs.

  • Tool

    • Python

  • Chart type

    • Comparison
    • Concept
    • Distribution
    • Patterns
    • Relationship
    • Word cloud

Get to know Nasreen Fatima

Nasreen Fatima

Data Analyst, Data Visualization, Dashboard Expert, Data Insights

5.0(5)
  • FromPakistan
  • Member sinceSep 2022
  • Last delivery10 months

  • Languages

    English, Arabic, French, Spanish
Hi, I’m Nasreen Fatima –a Certified Data Analyst with 3 years of professional experience in a leading software house. I specialize in data analysis, visualization, and reporting using: Microsoft Excel: Advanced formulas, pivot tables and macros. Power BI: DAX calculations, interactive dashboards, and data modeling Tableau: Engaging data visualizations and business reports Python (EDA): Exploratory Data Analysis, data cleaning, statistical insights, and automation using Python libraries My goal is to help you achieve your objectives and unlock the full potential of your data. Thank you!

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