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mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:2.72 GB

Files Included :

001  Chapter 1  Getting started.mp4 (19.41 MB)
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002  Chapter 1  Why R.mp4 (30.73 MB)
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003  Chapter 1  How this book works.mp4 (25.03 MB)
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004  Chapter 1  Summary.mp4 (5.76 MB)
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005  Chapter 2  Exploring data.mp4 (17.98 MB)
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006  Chapter 2  Importing data.mp4 (6.2 MB)
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007  Chapter 2  Wrangling data.mp4 (29.47 MB)
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008  Chapter 2  Variable breakdown.mp4 (21.08 MB)
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009  Chapter 2  Exploratory data analysis.mp4 (110.34 MB)
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010  Chapter 2  Writing data.mp4 (1.68 MB)
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011  Chapter 2  Summary.mp4 (7.42 MB)
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012  Chapter 3  Segmentation analysis.mp4 (15.37 MB)
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013  Chapter 3  Loading packages.mp4 (4.62 MB)
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014  Chapter 3  Importing and viewing data.mp4 (4.56 MB)
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015  Chapter 3  Creating another derived variable.mp4 (8.59 MB)
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016  Chapter 3  Visualizing means and medians.mp4 (44.83 MB)
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017  Chapter 3  Preliminary conclusions.mp4 (9.4 MB)
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018  Chapter 3  Sankey diagram.mp4 (32.43 MB)
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019  Chapter 3  Expected value analysis.mp4 (25.02 MB)
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020  Chapter 3  Hierarchical clustering.mp4 (33.09 MB)
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021  Chapter 3  Summary.mp4 (8.04 MB)
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022  Chapter 4  Constrained optimization.mp4 (13.93 MB)
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023  Chapter 4  Loading packages.mp4 (5.69 MB)
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024  Chapter 4  Importing data.mp4 (2.68 MB)
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025  Chapter 4  Knowing the data.mp4 (8.87 MB)
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026  Chapter 4  Visualizing the data.mp4 (35.23 MB)
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027  Chapter 4  Constrained optimization setup.mp4 (13.12 MB)
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028  Chapter 4  Constrained optimization construction.mp4 (9.73 MB)
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029  Chapter 4  Results.mp4 (11.23 MB)
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030  Chapter 4  Summary.mp4 (7.47 MB)
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031  Chapter 5  Regression models.mp4 (18.11 MB)
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032  Chapter 5  Importing data.mp4 (2.17 MB)
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033  Chapter 5  Knowing the data.mp4 (13.69 MB)
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034  Chapter 5  Identifying outliers.mp4 (27.4 MB)
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035  Chapter 5  Checking for normality.mp4 (17.83 MB)
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036  Chapter 5  Visualizing and testing correlations.mp4 (14.14 MB)
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037  Chapter 5  Multiple linear regression.mp4 (67.54 MB)
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038  Chapter 5  Regression tree.mp4 (16.99 MB)
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039  Chapter 5  Summary.mp4 (10.86 MB)
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040  Chapter 6  More wrangling and visualizing data.mp4 (6.95 MB)
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041  Chapter 6  Importing data.mp4 (3.68 MB)
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042  Chapter 6  Wrangling data.mp4 (25.48 MB)
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043  Chapter 6  Analysis.mp4 (62.55 MB)
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044  Chapter 6  Summary.mp4 (5.67 MB)
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045  Chapter 7  T-testing and effect size testing.mp4 (12.8 MB)
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046  Chapter 7  Importing data.mp4 (853.08 KB)
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047  Chapter 7  Wrangling data.mp4 (9.63 MB)
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048  Chapter 7  Analysis on 2018-19 data.mp4 (60.47 MB)
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049  Chapter 7  Analysis on 2019-20 data.mp4 (27.2 MB)
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050  Chapter 7  Summary.mp4 (9.22 MB)
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051  Chapter 8  Optimal stopping.mp4 (9.63 MB)
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052  Chapter 8  Importing images.mp4 (3.42 MB)
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053  Chapter 8  Importing and viewing data.mp4 (5.42 MB)
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054  Chapter 8  Exploring and wrangling data.mp4 (26.87 MB)
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055  Chapter 8  Analysis.mp4 (74.9 MB)
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056  Chapter 8  Summary.mp4 (9.75 MB)
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057  Chapter 9  Chi-square testing and more effect size testing.mp4 (18.68 MB)
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058  Chapter 9  Importing data.mp4 (2.36 MB)
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059  Chapter 9  Wrangling data.mp4 (13.54 MB)
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060  Chapter 9  Computing permutations.mp4 (11.76 MB)
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061  Chapter 9  Visualizing results.mp4 (22.38 MB)
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062  Chapter 9  Statistical test of significance.mp4 (22.09 MB)
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063  Chapter 9  Effect size testing.mp4 (4.76 MB)
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064  Chapter 9  Summary.mp4 (6.06 MB)
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065  Chapter 10  Doing more with ggplot2.mp4 (8.35 MB)
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066  Chapter 10  Importing and viewing data.mp4 (12.03 MB)
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067  Chapter 10  Salaries and salary cap analysis.mp4 (23.07 MB)
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068  Chapter 10  Analysis.mp4 (93.41 MB)
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069  Chapter 10  Summary.mp4 (11.62 MB)
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070  Chapter 11  K-means clustering.mp4 (10.39 MB)
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071  Chapter 11  Importing data.mp4 (6.31 MB)
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072  Chapter 11  A primer on standard deviations and z-scores.mp4 (14.38 MB)
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073  Chapter 11  Analysis.mp4 (47.24 MB)
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074  Chapter 11  K-means clustering.mp4 (59.58 MB)
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075  Chapter 11  Summary.mp4 (8.04 MB)
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076  Chapter 12  Computing and plotting inequality.mp4 (17.55 MB)
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077  Chapter 12  Loading packages.mp4 (2.09 MB)
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078  Chapter 12  Importing and viewing data.mp4 (15.03 MB)
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079  Chapter 12  Wrangling data.mp4 (23.02 MB)
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080  Chapter 12  Gini coefficients.mp4 (13.75 MB)
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081  Chapter 12  Lorenz curves.mp4 (14.47 MB)
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082  Chapter 12  Salary inequality and championships.mp4 (37.56 MB)
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083  Chapter 12  Salary inequality and wins and losses.mp4 (14.04 MB)
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084  Chapter 12  Gini coefficient bands versus winning percentage.mp4 (9.12 MB)
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085  Chapter 12  Summary.mp4 (8.66 MB)
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086  Chapter 13  More with Gini coefficients and Lorenz curves.mp4 (14.31 MB)
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087  Chapter 13  Importing and viewing data.mp4 (2.79 MB)
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088  Chapter 13  Wrangling data.mp4 (19.1 MB)
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089  Chapter 13  Gini coefficients.mp4 (15.2 MB)
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090  Chapter 13  Lorenz curves.mp4 (16.62 MB)
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091  Chapter 13  For loops.mp4 (21.51 MB)
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092  Chapter 13  User-defined functions.mp4 (17.67 MB)
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093  Chapter 13  Win share inequality and championships.mp4 (56.01 MB)
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094  Chapter 13  Win share inequality and wins and losses.mp4 (7.61 MB)
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095  Chapter 13  Gini coefficient bands versus winning percentage.mp4 (12.35 MB)
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096  Chapter 13  Summary.mp4 (9.96 MB)
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097  Chapter 14  Intermediate and advanced modeling.mp4 (10.09 MB)
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098  Chapter 14  Importing and wrangling data.mp4 (40.7 MB)
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099  Chapter 14  Exploring data.mp4 (9.31 MB)
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100  Chapter 14  Correlations.mp4 (27.94 MB)
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101  Chapter 14  Analysis of variance models.mp4 (35.2 MB)
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102  Chapter 14  Logistic regressions.mp4 (53.11 MB)
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103  Chapter 14  Paired data before and after.mp4 (11.2 MB)
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104  Chapter 14  Summary.mp4 (9.57 MB)
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105  Chapter 15  The Lindy effect.mp4 (15.09 MB)
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106  Chapter 15  Importing and viewing data.mp4 (21.1 MB)
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107  Chapter 15  Visualizing data.mp4 (25.8 MB)
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108  Chapter 15  Pareto charts.mp4 (29.57 MB)
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109  Chapter 15  Summary.mp4 (4.33 MB)
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110  Chapter 16  Randomness versus causality.mp4 (12.2 MB)
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111  Chapter 16  Importing and wrangling data.mp4 (19.83 MB)
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112  Chapter 16  Rule of succession and the hot hand.mp4 (24.66 MB)
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113  Chapter 16  Player-level analysis.mp4 (34.98 MB)
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114  Chapter 16  League-wide analysis.mp4 (10 MB)
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115  Chapter 16  Summary.mp4 (7.36 MB)
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116  Chapter 17  Collective intelligence.mp4 (11.69 MB)
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117  Chapter 17  Importing data.mp4 (2.1 MB)
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118  Chapter 17  Wrangling data.mp4 (19.13 MB)
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119  Chapter 17  Automated exploratory data analysis.mp4 (79.44 MB)
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120  Chapter 17  Results.mp4 (45.1 MB)
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121  Chapter 17  Summary.mp4 (6.88 MB)
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122  Chapter 18  Statistical dispersion methods.mp4 (10.11 MB)
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123  Chapter 18  Importing data.mp4 (2.29 MB)
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124  Chapter 18  Exploring and wrangling data.mp4 (18.28 MB)
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125  Chapter 18  Measures of statistical dispersion and intra-season parity.mp4 (41.38 MB)
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126  Chapter 18  Churn and inter-season parity.mp4 (22.36 MB)
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127  Chapter 18  Summary.mp4 (3.26 MB)
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128  Chapter 19  Data standardization.mp4 (14.48 MB)
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129  Chapter 19  Importing and viewing data.mp4 (9.24 MB)
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130  Chapter 19  Wrangling data.mp4 (23.32 MB)
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131  Chapter 19  Standardizing data.mp4 (37.88 MB)
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132  Chapter 19  Summary.mp4 (5.36 MB)
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133  Chapter 20  Finishing up.mp4 (26.08 MB)
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134  Chapter 20  Significance testing.mp4 (26.2 MB)
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135  Chapter 20  Effect size testing.mp4 (19.06 MB)
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136  Chapter 20  Modeling.mp4 (18.36 MB)
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137  Chapter 20  Operations research.mp4 (26.28 MB)
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138  Chapter 20  Probability.mp4 (13.65 MB)
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139  Chapter 20  Statistical dispersion.mp4 (9.77 MB)
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140  Chapter 20  Standardization.mp4 (8.71 MB)
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141  Chapter 20  Summary statistics and visualization.mp4 (24.23 MB)
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