Imaad Fakier - Portfolio - Programming Languages Popularity (Data Analysis)

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Programming Languages Popularity (Data Analysis)

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Programming Languages Popularity (Data Analysis)

Programming Languages Popularity (Data Analysis)

Analyzed Google search trends data for the terms Data Science, Data Analysis, and Machine Learning from 2004 to the present. The project uses pandas for data manipulation and matplotlib for visualization to explore the relative popularity of these terms over time and identify trends.

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Technical Details:

Language: Python
Libraries: pandas, matplotlib.pyplot
Concepts: Time-Series Analysis, Data Visualization, Pandas
Features: Uses Pandas for time-series data cleaning and manipulation, Uses matplotlib for time-series visualization

Key Learnings:

This project provided practical experience in performing time-series analysis and creating data visualization, also highlighting the importance of rolling averages when working with noisy data.

Status:

Public Repository

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