https://github.com/priyanshubiswas-tech/data-analysis-with-python

This repository showcases Python projects completed for a Data Analysis with Python certification, demonstrating skills in data manipulation, visualization, and statistical analysis using libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy.
https://github.com/priyanshubiswas-tech/data-analysis-with-python

data-analysis demographic-data-analyzer mean-variance-standard-deviation-calculator medical-data-visualizer page-view-time-series-visualizer python scipy-stats sea-level-predictor seaborn

Last synced: about 2 months ago
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This repository showcases Python projects completed for a Data Analysis with Python certification, demonstrating skills in data manipulation, visualization, and statistical analysis using libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy.

• Host: GitHub
• URL: https://github.com/priyanshubiswas-tech/data-analysis-with-python
• Owner: priyanshubiswas-tech
• Created: 2025-04-21T11:06:35.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2025-04-21T14:33:33.000Z (2 months ago)
• Last Synced: 2025-05-07T18:13:25.123Z (about 2 months ago)
• Topics: data-analysis, demographic-data-analyzer, mean-variance-standard-deviation-calculator, medical-data-visualizer, page-view-time-series-visualizer, python, scipy-stats, sea-level-predictor, seaborn
• Language: Python
• Homepage: https://www.freecodecamp.org/certification/Priyanshubiswas-tech/data-analysis-with-python-v7
• Size: 30.3 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Analysis with Python Certification Projects

This repository contains the Python projects completed as part of a Data Analysis with Python certification.

## Projects:

**1. Mean-Variance-Standard Deviation Calculator**

   - **Description:** A Python function that uses NumPy to calculate the mean, variance, standard deviation, max, min, and sum of the rows, columns, and flattened elements of a 3x3 matrix.

   - **Libraries/Functions:**

     - NumPy (`np`): `np.array`, `reshape`, `mean`, `var`, `std`, `max`, `min`, `sum`, `tolist`.

**2. Demographic Data Analyzer**

   - **Description:** (Based on provided context, details of this project are not fully clear. It likely involves analyzing demographic data using Pandas.)

   - **Libraries/Functions:**

     - Pandas (`pd`): DataFrames, data loading (`read_csv`), data manipulation (filtering, calculations).

**3. Medical Data Visualizer**

   - **Description:** Visualizes medical examination data using Pandas, Matplotlib, and Seaborn to understand patterns and relationships.

   - **Libraries/Functions:**

     - Pandas (`pd`): DataFrames, data loading (`read_csv`), data manipulation.

     - Matplotlib (`plt`): Creating plots (`figure`, `subplots`, `scatter`, `plot`, `xlabel`, `ylabel`, `title`, `legend`, `savefig`).

     - Seaborn (`sns`): Statistical data visualization (`catplot`, `heatmap`).

     - NumPy (`np`): Array operations (e.g., masking for heatmap).

**4. Page View Time Series Visualizer**

   - **Description:** Visualizes time series data of freeCodeCamp.org forum page views using Pandas, Matplotlib, and Seaborn to understand daily, yearly, and monthly trends.

   - **Libraries/Functions:**

     - Pandas (`pd`): Time series data handling (setting index to date, creating year/month columns), data manipulation (`melt`, `value_counts`, `groupby`, `unstack`).

     - Matplotlib (`plt`): Line charts, bar charts, box plots (`plot`, `bar`, `boxplot`, `xticks`, `tight_layout`).

     - Seaborn (`sns`): Box plots (`boxplot`).

**5. Sea Level Predictor**

   - **Description:** Analyzes a dataset of global average sea level change and uses linear regression from SciPy to predict sea level rise through the year 2050.

   - **Libraries/Functions:**

     - Pandas (`pd`): Data loading (`read_csv`), data filtering.

     - Matplotlib (`plt`): Scatter plots, line plots (`scatter`, `plot`, `xlabel`, `ylabel`, `title`, `legend`, `savefig`).

     - SciPy (`scipy.stats`): Linear regression (`linregress`).

     - NumPy (`np`): Creating numerical ranges (`arange`).

[Show Certification Credential](https://www.freecodecamp.org/certification/Priyanshubiswas-tech/data-analysis-with-python-v7)