Pandas-and-data-Analysis

Data Analysis Basics in Python (Pandas, seaborn and matplotlib)

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Lec_28_test.xlsx		Lec_28_test.xlsx
Lecture 10 - Array transposition.ipynb		Lecture 10 - Array transposition.ipynb
Lecture 11 Universal Array functions.ipynb		Lecture 11 Universal Array functions.ipynb
Lecture 12 Array preprocessing.ipynb		Lecture 12 Array preprocessing.ipynb
Lecture 13 - Array input and output.ipynb		Lecture 13 - Array input and output.ipynb
Lecture 14 - Series.ipynb		Lecture 14 - Series.ipynb
Lecture 15 - DataFrame.ipynb		Lecture 15 - DataFrame.ipynb
Lecture 16 - Index objects.ipynb		Lecture 16 - Index objects.ipynb
Lecture 17 - Reindexing.ipynb		Lecture 17 - Reindexing.ipynb
Lecture 18 - Drop Entry.ipynb		Lecture 18 - Drop Entry.ipynb
Lecture 19 - Selecting Entries.ipynb		Lecture 19 - Selecting Entries.ipynb
Lecture 20 - Data Alignment.ipynb		Lecture 20 - Data Alignment.ipynb
Lecture 21 - Rank and sort.ipynb		Lecture 21 - Rank and sort.ipynb
Lecture 22 - Summary Statistics.ipynb		Lecture 22 - Summary Statistics.ipynb
Lecture 23 - Missing data.ipynb		Lecture 23 - Missing data.ipynb
Lecture 24 - Index Hierarchy.ipynb		Lecture 24 - Index Hierarchy.ipynb
Lecture 25 - Reading and writing Text Files.ipynb		Lecture 25 - Reading and writing Text Files.ipynb
Lecture 26 - JSON with Python .ipynb		Lecture 26 - JSON with Python .ipynb
Lecture 27 - HTML with Python.ipynb		Lecture 27 - HTML with Python.ipynb
Lecture 28 - Excel with Python.ipynb		Lecture 28 - Excel with Python.ipynb
Lecture 29 Merge.ipynb		Lecture 29 Merge.ipynb
Lecture 30 - Merge on Index.ipynb		Lecture 30 - Merge on Index.ipynb
Lecture 31 - Concatinate.ipynb		Lecture 31 - Concatinate.ipynb
Lecture 32 - Combining DataFrames.ipynb		Lecture 32 - Combining DataFrames.ipynb
Lecture 33 - Reshaping.ipynb		Lecture 33 - Reshaping.ipynb
Lecture 34 - Pivoting.ipynb		Lecture 34 - Pivoting.ipynb
Lecture 35 - Duplicates in DataFrames.ipynb		Lecture 35 - Duplicates in DataFrames.ipynb
Lecture 36 - Mappling.ipynb		Lecture 36 - Mappling.ipynb
Lecture 37 - Replace.ipynb		Lecture 37 - Replace.ipynb
Lecture 38 - Renaming Index.ipynb		Lecture 38 - Renaming Index.ipynb
Lecture 39 - Binning.ipynb		Lecture 39 - Binning.ipynb
Lecture 40 - Outliers.ipynb		Lecture 40 - Outliers.ipynb
Lecture 41 - Permutations.ipynb		Lecture 41 - Permutations.ipynb
Lecture 42 - Groupby on DataFrames.ipynb		Lecture 42 - Groupby on DataFrames.ipynb
Lecture 43 - Groupby on Dict and Series.ipynb		Lecture 43 - Groupby on Dict and Series.ipynb
Lecture 44 - Aggregation.ipynb		Lecture 44 - Aggregation.ipynb
Lecture 45 - Splitting apply and combine.ipynb		Lecture 45 - Splitting apply and combine.ipynb
Lecture 46 - Cross Tabulation.ipynb		Lecture 46 - Cross Tabulation.ipynb
Lecture 48 - Histograms.ipynb		Lecture 48 - Histograms.ipynb
Lecture 49 - Kernel Density Estimation Plots.ipynb		Lecture 49 - Kernel Density Estimation Plots.ipynb
Lecture 50 - Combining Plot Styles.ipynb		Lecture 50 - Combining Plot Styles.ipynb
Lecture 51 - Box and Violin Plots.ipynb		Lecture 51 - Box and Violin Plots.ipynb
Lecture 52 - Regression plots.ipynb		Lecture 52 - Regression plots.ipynb
Lecture 53 - Heatmaps and Clustured Matrices.ipynb		Lecture 53 - Heatmaps and Clustured Matrices.ipynb
Lecture 55 - Intro to Data Projects Section.ipynb		Lecture 55 - Intro to Data Projects Section.ipynb
Lecture 60 - Stock Market Analysis.ipynb		Lecture 60 - Stock Market Analysis.ipynb
Lecture 7 creating Array.ipynb		Lecture 7 creating Array.ipynb
Lecture 8 using array's and scalars.ipynb		Lecture 8 using array's and scalars.ipynb
Lecture 9 indexing arrays.ipynb		Lecture 9 indexing arrays.ipynb
README.md		README.md
lec25.csv		lec25.csv
myarray.npy		myarray.npy
mytextdata_out.csv		mytextdata_out.csv
mytextfile.txt		mytextfile.txt
winequality-red.csv		winequality-red.csv
ziparray.npz		ziparray.npz

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