Data-Analysis-Visualization

All about Python libraries : Numpy, Pandas and Matplotlib for data analysis & visualization.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
23-37_5000_tmdb_movies_metadata		23-37_5000_tmdb_movies_metadata
29-30_World_Happiness_Report		29-30_World_Happiness_Report
38-40_suicide_dataset		38-40_suicide_dataset
01_why_dataAnalysis and Visualization.ipynb		01_why_dataAnalysis and Visualization.ipynb
02-04_downloadAnaconda to Numpy Overview.ipynb		02-04_downloadAnaconda to Numpy Overview.ipynb
05_numpy arrays.ipynb		05_numpy arrays.ipynb
06_numpy arrays using numpy functions.ipynb		06_numpy arrays using numpy functions.ipynb
07-09_numpy reshaping data to Seed function.ipynb		07-09_numpy reshaping data to Seed function.ipynb
10_indexing & slicing 1d array.ipynb		10_indexing & slicing 1d array.ipynb
11-15_indexing & slicing in 2d array to operations on arrays.ipynb		11-15_indexing & slicing in 2d array to operations on arrays.ipynb
16_useful numpy functions.ipynb		16_useful numpy functions.ipynb
17-19_numpy axis to hz & vert. stacking.ipynb		17-19_numpy axis to hz & vert. stacking.ipynb
20-21_numpy_exercise.ipynb		20-21_numpy_exercise.ipynb
22_numpy array vs python list.ipynb		22_numpy array vs python list.ipynb
README.md		README.md
rough.ipynb		rough.ipynb

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