GitHub - learn2excel/dswithpython: notebooks to support videos and demo examples

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notebooks to support videos and demo examples

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notebooks to support videos and demo examples

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Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
38. Get list from pandas DataFrame column headers.ipynb		38. Get list from pandas DataFrame column headers.ipynb
39. Visualize categorical variables.ipynb		39. Visualize categorical variables.ipynb
40. Changing color for a matplotlib bar.ipynb		40. Changing color for a matplotlib bar.ipynb
41. Displaying Uni-variate Distribution using Histogram.ipynb		41. Displaying Uni-variate Distribution using Histogram.ipynb
42. Change bin size for a histogram for uni-variate data.ipynb		42. Change bin size for a histogram for uni-variate data.ipynb
43 Kernel Density Estimation python		43 Kernel Density Estimation python
Add a column to a data frame python.ipynb		Add a column to a data frame python.ipynb
Changing Transparency for Scatter Plots using alpha.ipynb		Changing Transparency for Scatter Plots using alpha.ipynb
Create a CrossTab.ipynb		Create a CrossTab.ipynb
Create a Histogram from a CrossTab for data analysis.ipynb		Create a Histogram from a CrossTab for data analysis.ipynb
Data Analysis Template.ipynb		Data Analysis Template.ipynb
EDA.py		EDA.py
Extract non-null values in a pandas dataframe.ipynb		Extract non-null values in a pandas dataframe.ipynb
Filtering Rows for a pandas dataframe.ipynb		Filtering Rows for a pandas dataframe.ipynb
Find average of a numerical feature.ipynb		Find average of a numerical feature.ipynb
Find median of a numerical feature.ipynb		Find median of a numerical feature.ipynb
Find non-null values in a pandas dataframe.ipynb		Find non-null values in a pandas dataframe.ipynb
Finding Average for measures in a pandas dataframe.ipynb		Finding Average for measures in a pandas dataframe.ipynb
Group by Clause.ipynb		Group by Clause.ipynb
Groupby and Agg Clause.ipynb		Groupby and Agg Clause.ipynb
IncomebyCountry.csv		IncomebyCountry.csv
Joining Two Data Frames.ipynb		Joining Two Data Frames.ipynb
Label Based vs Positional Indexing.ipynb		Label Based vs Positional Indexing.ipynb
LoadDatafromKaggle.py		LoadDatafromKaggle.py
Min and Max of a numerical feature.ipynb		Min and Max of a numerical feature.ipynb
Most common value in a column.ipynb		Most common value in a column.ipynb
Percentage of categorical variables python.ipynb		Percentage of categorical variables python.ipynb
Pivot Data.ipynb		Pivot Data.ipynb
Range for a Numerical Feature.ipynb		Range for a Numerical Feature.ipynb
Row Indexing using .loc.ipynb		Row Indexing using .loc.ipynb
Scatter Plots.ipynb		Scatter Plots.ipynb
Selecting specific columns from a pandas dataframe.ipynb		Selecting specific columns from a pandas dataframe.ipynb
Specifying Column Range.ipynb		Specifying Column Range.ipynb
Statistics for categorical variables.ipynb		Statistics for categorical variables.ipynb
Value Counts for categorical variables.ipynb		Value Counts for categorical variables.ipynb
Variance for a Numerical Feature.ipynb		Variance for a Numerical Feature.ipynb
WebScraping.ipynb		WebScraping.ipynb
box whisker plot.ipynb		box whisker plot.ipynb

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