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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:
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This repository showcases data analysis projects using Python and libraries like Numpy, Pandas, Matplotlib and Seaborn. Key projects include visualizing medical data, analyzing page view trends, and predicting sea level changes. Explore to see Python's data analysis capabilities!
41/100 healthActive repository
PythonMIT#data-analysis-python#demographic-data-analyzer#freecodecamp#mean-variance-standard-deviation-calculator
⑂ 0 forks◯ 0 issuesUpdated Nov 5, 2024