I will do data analysis using python, jupyter notebook, numpy, pandas and matplotlib

Posted At: Jul 1, 2024, from Pakistan

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  • Cost$26.74
  • Delivery Time2 days
  • Delivery DateJul 05, 2024
  • Feedbacks0
Data Analyst
FromPakistanMember SinceApr 22, 2024
Contact Seller

About This Service

I have 1+ years of experience in programming especially in the python programming language and its libraries. In this gig, I am offering you my following services.

  1. Import data from CSV, Excel, JSON file
  2. Export data to CSV, Excel, JSON file
  3. Data Analysis
  4. Data Cleaning like handling missing values, detect and remove outliers, remove duplicate records.
  5. Exploratory Data Analysis (EDA)
  6. Extract meaningful insights from data
  7. Data Visualization
  8. Create an amazing jupyter notebook with comments

9. Data Analysis

10.Exploratory data analysis

11.Documentation

Visualization (matplotlib, seaborn) :

  • Scatter plot
  • Histogram
  • Box and Whiskers Plot
  • Heat maps
  • Time Plot
  • Swarm Plot
  • Joint Plot
  • Pair Plot
  • Bar Plot
  • Line plot
  • Pie Charts
  • Flow Charts
  • 3D Graphs
  • Bubble Plot
  • Area Graph
  • Geographic
  • Density Plot
  • Whiskers plot
  • Gantt Chart
  • Violin Plot

Libraries

  • python
  • Pandas
  • Numpy
  • Matplotlib
  • plotly
  • sklearn
  • Seaborn
  • Jupyter Notebook
  • Scipy
  • Pandas-Profiling

Why you should hire me :

  • I will do my work with complete determination
  • On-time delivery
  • Good communication
  • high quality work will be de

Please discuss the task before ordering!

What seller need from the Buyer to get started?

Data:

  • Format: (CSV, Excel, JSON, SQL)?
  • Size: (Rows & columns)?
  • Structure: (Columns, data types)?
  • Source: (Local file, cloud storage)?
  • Access: (They have it or you need it?)

Analysis:

  • Problem: (What are they trying to solve?)
  • Questions: (What specific questions need answers?)
  • Outcomes: (Insights, predictions, recommendations?)

Preparation:

  • Cleaning: (Do they need data cleaning or preprocessing?).
  • Techniques:
  • Statistical: (Specific methods needed?)
  • Visualization: (Charts/graphs needed?)

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