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001. Chapter 1. Getting started.mp4
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MP4
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19.4 MB
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002. Chapter 1. Why R.mp4
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30.7 MB
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003. Chapter 1. How this book works.mp4
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25 MB
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004. Chapter 1. Summary.mp4
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5.8 MB
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005. Chapter 2. Exploring data.mp4
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18 MB
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006. Chapter 2. Importing data.mp4
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6.2 MB
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007. Chapter 2. Wrangling data.mp4
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29.5 MB
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008. Chapter 2. Variable breakdown.mp4
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21.1 MB
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009. Chapter 2. Exploratory data analysis.mp4
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110.3 MB
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010. Chapter 2. Writing data.mp4
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1.7 MB
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011. Chapter 2. Summary.mp4
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7.4 MB
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012. Chapter 3. Segmentation analysis.mp4
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15.4 MB
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013. Chapter 3. Loading packages.mp4
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4.6 MB
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014. Chapter 3. Importing and viewing data.mp4
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4.6 MB
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015. Chapter 3. Creating another derived variable.mp4
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8.6 MB
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016. Chapter 3. Visualizing means and medians.mp4
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44.8 MB
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017. Chapter 3. Preliminary conclusions.mp4
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9.4 MB
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018. Chapter 3. Sankey diagram.mp4
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32.4 MB
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019. Chapter 3. Expected value analysis.mp4
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25 MB
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020. Chapter 3. Hierarchical clustering.mp4
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33.1 MB
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021. Chapter 3. Summary.mp4
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MP4
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8 MB
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022. Chapter 4. Constrained optimization.mp4
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MP4
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13.9 MB
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023. Chapter 4. Loading packages.mp4
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MP4
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5.7 MB
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024. Chapter 4. Importing data.mp4
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2.7 MB
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025. Chapter 4. Knowing the data.mp4
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8.9 MB
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026. Chapter 4. Visualizing the data.mp4
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35.2 MB
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027. Chapter 4. Constrained optimization setup.mp4
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13.1 MB
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028. Chapter 4. Constrained optimization construction.mp4
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9.7 MB
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029. Chapter 4. Results.mp4
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11.2 MB
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030. Chapter 4. Summary.mp4
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7.5 MB
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031. Chapter 5. Regression models.mp4
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18.1 MB
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032. Chapter 5. Importing data.mp4
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2.2 MB
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033. Chapter 5. Knowing the data.mp4
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13.7 MB
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034. Chapter 5. Identifying outliers.mp4
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27.4 MB
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035. Chapter 5. Checking for normality.mp4
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17.8 MB
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036. Chapter 5. Visualizing and testing correlations.mp4
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14.1 MB
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037. Chapter 5. Multiple linear regression.mp4
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67.5 MB
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038. Chapter 5. Regression tree.mp4
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17 MB
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039. Chapter 5. Summary.mp4
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10.9 MB
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040. Chapter 6. More wrangling and visualizing data.mp4
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7 MB
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041. Chapter 6. Importing data.mp4
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3.7 MB
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042. Chapter 6. Wrangling data.mp4
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25.5 MB
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043. Chapter 6. Analysis.mp4
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62.6 MB
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044. Chapter 6. Summary.mp4
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5.7 MB
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045. Chapter 7. T-testing and effect size testing.mp4
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12.8 MB
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046. Chapter 7. Importing data.mp4
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853.1 KB
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047. Chapter 7. Wrangling data.mp4
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9.6 MB
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048. Chapter 7. Analysis on 2018-19 data.mp4
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60.5 MB
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049. Chapter 7. Analysis on 2019-20 data.mp4
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27.2 MB
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050. Chapter 7. Summary.mp4
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9.2 MB
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051. Chapter 8. Optimal stopping.mp4
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9.6 MB
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052. Chapter 8. Importing images.mp4
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3.4 MB
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053. Chapter 8. Importing and viewing data.mp4
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5.4 MB
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054. Chapter 8. Exploring and wrangling data.mp4
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26.9 MB
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055. Chapter 8. Analysis.mp4
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MP4
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74.9 MB
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056. Chapter 8. Summary.mp4
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MP4
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9.7 MB
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057. Chapter 9. Chi-square testing and more effect size testing.mp4
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18.7 MB
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058. Chapter 9. Importing data.mp4
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MP4
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2.4 MB
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059. Chapter 9. Wrangling data.mp4
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13.5 MB
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060. Chapter 9. Computing permutations.mp4
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11.8 MB
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061. Chapter 9. Visualizing results.mp4
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22.4 MB
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062. Chapter 9. Statistical test of significance.mp4
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22.1 MB
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063. Chapter 9. Effect size testing.mp4
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4.8 MB
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064. Chapter 9. Summary.mp4
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MP4
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6.1 MB
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065. Chapter 10. Doing more with ggplot2.mp4
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8.4 MB
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066. Chapter 10. Importing and viewing data.mp4
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MP4
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12 MB
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067. Chapter 10. Salaries and salary cap analysis.mp4
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23.1 MB
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068. Chapter 10. Analysis.mp4
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MP4
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93.4 MB
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069. Chapter 10. Summary.mp4
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MP4
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11.6 MB
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070. Chapter 11. K-means clustering.mp4
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10.4 MB
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071. Chapter 11. Importing data.mp4
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6.3 MB
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072. Chapter 11. A primer on standard deviations and z-scores.mp4
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14.4 MB
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073. Chapter 11. Analysis.mp4
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MP4
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47.2 MB
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074. Chapter 11. K-means clustering.mp4
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MP4
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59.6 MB
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075. Chapter 11. Summary.mp4
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MP4
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8 MB
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076. Chapter 12. Computing and plotting inequality.mp4
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MP4
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17.6 MB
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077. Chapter 12. Loading packages.mp4
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MP4
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2.1 MB
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078. Chapter 12. Importing and viewing data.mp4
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MP4
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15 MB
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079. Chapter 12. Wrangling data.mp4
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MP4
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23 MB
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080. Chapter 12. Gini coefficients.mp4
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13.7 MB
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081. Chapter 12. Lorenz curves.mp4
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14.5 MB
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082. Chapter 12. Salary inequality and championships.mp4
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37.6 MB
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083. Chapter 12. Salary inequality and wins and losses.mp4
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MP4
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14 MB
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084. Chapter 12. Gini coefficient bands versus winning percentage.mp4
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MP4
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9.1 MB
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085. Chapter 12. Summary.mp4
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MP4
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8.7 MB
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086. Chapter 13. More with Gini coefficients and Lorenz curves.mp4
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MP4
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14.3 MB
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087. Chapter 13. Importing and viewing data.mp4
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MP4
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2.8 MB
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088. Chapter 13. Wrangling data.mp4
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MP4
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19.1 MB
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089. Chapter 13. Gini coefficients.mp4
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MP4
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15.2 MB
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090. Chapter 13. Lorenz curves.mp4
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16.6 MB
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091. Chapter 13. For loops.mp4
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MP4
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21.5 MB
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092. Chapter 13. User-defined functions.mp4
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MP4
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17.7 MB
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093. Chapter 13. Win share inequality and championships.mp4
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MP4
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56 MB
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094. Chapter 13. Win share inequality and wins and losses.mp4
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MP4
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7.6 MB
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095. Chapter 13. Gini coefficient bands versus winning percentage.mp4
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MP4
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12.4 MB
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096. Chapter 13. Summary.mp4
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MP4
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10 MB
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097. Chapter 14. Intermediate and advanced modeling.mp4
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MP4
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10.1 MB
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098. Chapter 14. Importing and wrangling data.mp4
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MP4
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40.7 MB
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099. Chapter 14. Exploring data.mp4
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MP4
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9.3 MB
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100. Chapter 14. Correlations.mp4
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27.9 MB
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101. Chapter 14. Analysis of variance models.mp4
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35.2 MB
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102. Chapter 14. Logistic regressions.mp4
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MP4
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53.1 MB
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103. Chapter 14. Paired data before and after.mp4
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MP4
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11.2 MB
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104. Chapter 14. Summary.mp4
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MP4
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9.6 MB
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105. Chapter 15. The Lindy effect.mp4
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MP4
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15.1 MB
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106. Chapter 15. Importing and viewing data.mp4
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MP4
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21.1 MB
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107. Chapter 15. Visualizing data.mp4
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MP4
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25.8 MB
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108. Chapter 15. Pareto charts.mp4
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MP4
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29.6 MB
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109. Chapter 15. Summary.mp4
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MP4
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4.3 MB
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110. Chapter 16. Randomness versus causality.mp4
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MP4
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12.2 MB
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111. Chapter 16. Importing and wrangling data.mp4
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MP4
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19.8 MB
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112. Chapter 16. Rule of succession and the hot hand.mp4
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24.7 MB
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113. Chapter 16. Player-level analysis.mp4
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35 MB
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114. Chapter 16. League-wide analysis.mp4
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MP4
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10 MB
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115. Chapter 16. Summary.mp4
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MP4
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7.4 MB
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116. Chapter 17. Collective intelligence.mp4
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MP4
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11.7 MB
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117. Chapter 17. Importing data.mp4
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MP4
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2.1 MB
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118. Chapter 17. Wrangling data.mp4
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MP4
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19.1 MB
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119. Chapter 17. Automated exploratory data analysis.mp4
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79.4 MB
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120. Chapter 17. Results.mp4
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MP4
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45.1 MB
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121. Chapter 17. Summary.mp4
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MP4
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6.9 MB
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122. Chapter 18. Statistical dispersion methods.mp4
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10.1 MB
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123. Chapter 18. Importing data.mp4
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MP4
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2.3 MB
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124. Chapter 18. Exploring and wrangling data.mp4
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MP4
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18.3 MB
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125. Chapter 18. Measures of statistical dispersion and intra-season parity.mp4
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MP4
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41.4 MB
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126. Chapter 18. Churn and inter-season parity.mp4
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MP4
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22.4 MB
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127. Chapter 18. Summary.mp4
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MP4
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3.3 MB
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128. Chapter 19. Data standardization.mp4
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MP4
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14.5 MB
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129. Chapter 19. Importing and viewing data.mp4
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MP4
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9.2 MB
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130. Chapter 19. Wrangling data.mp4
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MP4
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23.3 MB
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131. Chapter 19. Standardizing data.mp4
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MP4
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37.9 MB
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132. Chapter 19. Summary.mp4
|
MP4
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5.4 MB
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133. Chapter 20. Finishing up.mp4
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26.1 MB
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134. Chapter 20. Significance testing.mp4
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MP4
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26.2 MB
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135. Chapter 20. Effect size testing.mp4
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MP4
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19.1 MB
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136. Chapter 20. Modeling.mp4
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18.4 MB
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137. Chapter 20. Operations research.mp4
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26.3 MB
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138. Chapter 20. Probability.mp4
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13.6 MB
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139. Chapter 20. Statistical dispersion.mp4
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9.8 MB
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140. Chapter 20. Standardization.mp4
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8.7 MB
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141. Chapter 20. Summary statistics and visualization.mp4
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MP4
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24.2 MB
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Bonus Resources.txt
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TXT
|
409.6 B
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Get Bonus Downloads Here.url
|
URL
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204.8 B
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