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Synopsis
Table of Contents
1. IntroductionHow to use this bookInstalling iPython NotebookWhat is iPython notebook?What is Anaconda?Getting StartedGetting the datasets for the workbook's exercises2. Getting Data into and out of PythonLoading Data from CSV FilesSaving Data to CSVLoading Data from Excel FilesSaving Data to Excel FilesCombining Data from Multiple Excel Data from SQLSaving Data to SQLRandom Numbers and Creating Random Data3. Preparing Data is Half the BattleCleaning DataCalculating and Removing OutliersMissing Data in Pandas DataframesFiltering Inappropriate ValuesFinding Duplicate RowsRemoving Punctuation from Column ContentsRemoving Whitespace from Column ContentsStandardizing DatesStandardizing Text like SSN's, Phone #'s and Zip CodesCreating New VariablesBinning DataApplying Function to Groups, Bins and ColumnsRanking Rows of DataCreate a Column Based on a ConditionalMaking New Columns Using FunctionsConverting String Categories to Numeric VariablesOrganizing the DataRemoving and Adding ColumnsSelecting ColumnsChange Column NameSetting Column Names to Lower CaseFinding Matching RowsFilter Rows Based on Rows Based on ConditionsRandom Sampling Dataframe4. Finding the MeaningComputing aggregate statisticsComputing Aggregate Statistics on Matching RowsSorting DataCorrelationRegressionRegression without InterceptBasic Pivot TableRandom Sampling DataframeSelecting Pandas DataFrame Rows Based on ConditionsDistribution AnalysisCategorical Variable AnalysisTime Series Analysis5. Visualizing DataData Quality ReportGraph a Dataset - Line PlotGraph a Dataset - Bar PlotGraph a Dataset - Box PlotGraph a Dataset - HistogramGraph a Dataset - Pie ChartGraph a Dataset - Scatter PlotPlotting w/ ImagePlotting Data on a Map with BasemapPlotting a Gantt ChartSetting ticks, labels & gridsAdding legends & annotationsMoving Spines to the Center6. Practice ProblemsPivot Exercise 1Pivot Exercise 2Pivot Exercise 2Pivot Exercise 3LegendRegression Exercise 1Regression Exercise 2Regression Exercise 3Analysis ProjectNotes
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International Edition
Learn Data Analysis with Python: Lessons in Coding
International EditionSeller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABBB-254999