IntroductionIntroduction to Data VisualizationThe Importance of Data VisualizationData WranglingTools and Libraries for VisualizationOverview of StatisticsMeasures of Central TendencyMeasures of DispersionCorrelationTypes of DataSummary StatisticsNumPyExercise 1.01: Loading a Sample Dataset and Calculating the Mean Using NumPyActivity 1.01: Using NumPy to Compute the Mean, Median, Variance, and Standard Deviation of a DatasetBasic NumPy OperationsIndexingSlicingSplittingIteratingExercise 1.02: Indexing, Slicing, Splitting, and IteratingAdvanced NumPy OperationsFilteringSortingCombiningReshapingExercise 1.03: Filtering, Sorting, Combining, and ReshapingpandasAdvantages of pandas over NumPyDisadvantages of pandasExercise 1.04 Loading a Sample Dataset and Calculating the Mean using PandasExercise 1.05: Using pandas to Compute the Mean, Median, and Variance of a DatasetBasic Operations of pandasIndexingSlicingIteratingSeriesExercise 1.06: Indexing, Slicing, and Iterating Using pandasAdvanced pandas OperationsFilteringSortingReshapingExercise 1.07: Filtering, Sorting, and ReshapingActivity 1.02: Forest Fire Size and Temperature AnalysisSummary