GitHub - iamcamilasilva/DataScience-StudyNotebooks: This is an introductory notebook about practice of Exploratory Data Analysis with several examples using some libraries like numpy, pandas, matplotlib, seaborn, plotly and others.

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This is an introductory notebook about practice of Exploratory Data Analysis with several examples using some libraries like numpy, pandas, matplotlib, seaborn, plotly and others.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
.gitignore		.gitignore
01-911 Calls Data Capstone Project.ipynb		01-911 Calls Data Capstone Project.ipynb
01-Distribution Plots.ipynb		01-Distribution Plots.ipynb
01-SF Salaries Exercise.ipynb		01-SF Salaries Exercise.ipynb
02-Choropleth Maps Exercise.ipynb		02-Choropleth Maps Exercise.ipynb
02-Matplotlib Exercises.ipynb		02-Matplotlib Exercises.ipynb
02-Pandas Data Visualization Exercise.ipynb		02-Pandas Data Visualization Exercise.ipynb
03-Ecommerce Purchases Exercise .ipynb		03-Ecommerce Purchases Exercise .ipynb
03-Finance Project.ipynb		03-Finance Project.ipynb
04-Advanced Matplotlib Concepts.ipynb		04-Advanced Matplotlib Concepts.ipynb
04-Numpy Exercises.ipynb		04-Numpy Exercises.ipynb
07-Seaborn Exercises.ipynb		07-Seaborn Exercises.ipynb
2011_US_AGRI_Exports		2011_US_AGRI_Exports
2012_Election_Data		2012_Election_Data
2014_World_GDP		2014_World_GDP
2014_World_Power_Consumption		2014_World_Power_Consumption
911.csv		911.csv
Ecommerce Purchases		Ecommerce Purchases
Excel_Sample.xlsx		Excel_Sample.xlsx
Geographical Plotting.ipynb		Geographical Plotting.ipynb
Matplotlib.ipynb		Matplotlib.ipynb
My_output		My_output
Numpy.ipynb		Numpy.ipynb
Pandas - Exercises.ipynb		Pandas - Exercises.ipynb
Pandas Data Visualization.ipynb		Pandas Data Visualization.ipynb
Pandas.ipynb		Pandas.ipynb
Plotly and Cufflinks.ipynb		Plotly and Cufflinks.ipynb
Salaries.csv		Salaries.csv
Seaborn.ipynb		Seaborn.ipynb
df1		df1
df2		df2
df3		df3
example		example
multi_index_example		multi_index_example
my_picture.png		my_picture.png
precipitation.html		precipitation.html

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This is an introductory notebook about practice of Exploratory Data Analysis with several examples using some libraries like numpy, pandas, matplotlib, seaborn, plotly and others.

python numpy plotly pandas seaborn matplotlib choropleth

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