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jmportilla's
repositories
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.ipynb_checkpoints
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Course FAQ.ipynb
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Data Project - Election Analysis.ipynb
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Data Project - Stock Market Analysis.ipynb
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Intro to Data Project Section.ipynb
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Intro to Data Projects - Titanic.ipynb
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Lec 10 - Array Transposition.ipynb
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Lec 11 - Universal Array Function.ipynb
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Lec 12 - Array Processing.ipynb
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Lec 13 - Array Input and Output.ipynb
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Lec 14 - Series.ipynb
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Lec 15 - DataFrames.ipynb
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Lec 16 - Index Objects.ipynb
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Lec 17 -Reindexing.ipynb
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Lec 18 -Drop Entry.ipynb
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Lec 19 - Selecting Entries.ipynb
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Lec 20 - Data Alignment.ipynb
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Lec 21 - Rank and Sort.ipynb
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Lec 22 - Summary Statistics.ipynb
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Lec 23 - Missing Data.ipynb
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Lec 24 - Index Hierarchy.ipynb
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Lec 25 - Reading and Writing Text Files.ipynb
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Lec 26 - JSON with Python.ipynb
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Lec 27 - HTML with Python.ipynb
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Lec 28 - Excel with Python.ipynb
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Lec 29 - Merge.ipynb
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Lec 30 -Merge on Index.ipynb
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Lec 31 - Concatenate.ipynb
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Lec 32 - Combining DataFrames.ipynb
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Lec 33 - Reshaping.ipynb
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Lec 34 - Pivoting.ipynb
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Lec 35 - Duplicates in DataFrames.ipynb
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Lec 36 - Mapping.ipynb
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Lec 37 - Replace.ipynb
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Lec 38 - Rename Index.ipynb
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Lec 39 - Binning.ipynb
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Lec 40 - Outliers.ipynb
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Lec 41 - Permutation.ipynb
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Lec 42 - GroupBy on DataFrames.ipynb
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Lec 43 - Groupby on Dict and Series.ipynb
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Lec 44 - Aggregation.ipynb
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Lec 45 - Splitting, Applying and Combining.ipynb
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Lec 46 - Cross-Tabulation.ipynb
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Lec 47 - Installing Seaborn.ipynb
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Lec 48 - Histograms.ipynb
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Lec 49 - Kernel Density Estimation Plots.ipynb
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Lec 50 - Combining Plot Styles.ipynb
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Lec 51 - Box and Violin Plots.ipynb
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Lec 52 - Regression Plots.ipynb
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Lec 53 - Heatmaps and Clustered Matrices.ipynb
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Lec 7 - Creating Arrays.ipynb
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Lec 8 - Using arrays and scalars.ipynb
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Lec 9 -Indexing Arrays.ipynb
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.gitattributes
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.gitignore
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Lec_28_test.xlsx
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README.md
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lec25.csv
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lec25.txt
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my_array.npy
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my_test_text.txt
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mytextdata_out.csv
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report_summaries_form_3p.csv
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two_arrays.npz
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winequality_red.csv
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