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IRIS

Analyzing data from iris flowers using pandas, numpy, matplotlib, and pygal.

Files

IRIS.ipynb - Main file looking through the data with the addition of pygal.

Iris.csv - The data in csv format.

PandasandNumpy.ipynb - Learning tool I made for pandas. (https://www.kaggle.com/justinminsk/pandas-and-numpy-tutorial/)

kaggle_notebook.ipynb - My last pulled notebook from kaggle.

Kaggle notebook page

My final kaggle notebook https://www.kaggle.com/justinminsk/iris-data/.

Differences

Since kaggle does not support pygal you need to look at the IRIS.ipynb to see the pygal graphs, the final analyzes will be on the kaggle notebook, however.

Data

Data is from https://www.kaggle.com/uciml/iris.

Useful Information

-Need Anaconda3 or at least Jupyter Notebook running Python 3

-Need pandas, numpy, pygal, seaborn, and matplotlib libraries

Author

Justin Minsk - [email protected]

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Data from iris flowers

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