• Files list
  • 0. Extras (Coupons & Freebies),100 % OFF Lifetime Access Coupons.url 131.00Bytes
  • 0. Extras (Coupons & Freebies),Free Udemy Coupons.url 131.00Bytes
  • 0. Extras (Coupons & Freebies),Readme.txt 962.00Bytes
  • 0. Extras (Coupons & Freebies),[GigaCourse.com].url 49.00Bytes
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  • 0. Websites You May Like,Readme.txt 962.00Bytes
  • 0. Websites You May Like,[GigaCourse.com].url 49.00Bytes
  • 1. Introduction,1. Ten Things You Will Learn in This Course.mp4 48.91MB
  • 1. Introduction,1. Ten Things You Will Learn in This Course.srt 4.16KB
  • 10. Exploratory data analysis,1. Population vs. sample.mp4 12.20MB
  • 10. Exploratory data analysis,1. Population vs. sample.srt 5.46KB
  • 10. Exploratory data analysis,2. Mean, median, mode.mp4 10.49MB
  • 10. Exploratory data analysis,2. Mean, median, mode.srt 6.92KB
  • 10. Exploratory data analysis,3. Skewness.mp4 7.54MB
  • 10. Exploratory data analysis,3. Skewness.srt 4.05KB
  • 10. Exploratory data analysis,4. Exercise 25 Determining Skewness.html 197.00Bytes
  • 10. Exploratory data analysis,4.1 skew_2.csv 161.00Bytes
  • 10. Exploratory data analysis,4.2 Determining the skew - solution.html 123.00Bytes
  • 10. Exploratory data analysis,4.3 skew_1.csv 156.00Bytes
  • 10. Exploratory data analysis,5. Variance, standard deviation, and coefficient of variability.mp4 11.35MB
  • 10. Exploratory data analysis,5. Variance, standard deviation, and coefficient of variability.srt 8.38KB
  • 10. Exploratory data analysis,6. Covariance and correlation.mp4 14.10MB
  • 10. Exploratory data analysis,6. Covariance and correlation.srt 8.93KB
  • 10. Exploratory data analysis,6.1 landdata-states.csv 463.53KB
  • 10. Exploratory data analysis,7. Exercise 26 Practical example with real estate data.html 1.05KB
  • 10. Exploratory data analysis,7.1 practical_customer.csv 16.40KB
  • 10. Exploratory data analysis,7.2 Practical Example RE Data - Solution.html 136.00Bytes
  • 10. Exploratory data analysis,7.3 practical_product.csv 13.41KB
  • 11. Hypothesis Testing,1. Distributions.mp4 106.94MB
  • 11. Hypothesis Testing,1. Distributions.srt 8.68KB
  • 11. Hypothesis Testing,10. Comparing two means - Dependent samples.mp4 49.26MB
  • 11. Hypothesis Testing,10. Comparing two means - Dependent samples.srt 9.55KB
  • 11. Hypothesis Testing,10.1 dependent-samples.csv 102.00Bytes
  • 11. Hypothesis Testing,11. Exercise Comparing two means - Dependent samples.html 692.00Bytes
  • 11. Hypothesis Testing,11.1 weight_data_exercise_kg.csv 264.00Bytes
  • 11. Hypothesis Testing,11.2 Comparing two means - dependent samples - exercise solution.html 168.00Bytes
  • 11. Hypothesis Testing,11.3 weight_data_exercise_lbs.csv 237.00Bytes
  • 11. Hypothesis Testing,12. Comparing two means - Independent samples.mp4 44.36MB
  • 11. Hypothesis Testing,12. Comparing two means - Independent samples.srt 7.64KB
  • 11. Hypothesis Testing,12.1 independent-samples.csv 664.00Bytes
  • 11. Hypothesis Testing,2. Standard Error and Confidence Intervals.mp4 65.65MB
  • 11. Hypothesis Testing,2. Standard Error and Confidence Intervals.srt 11.56KB
  • 11. Hypothesis Testing,3. Hypothesis testing.mp4 82.20MB
  • 11. Hypothesis Testing,3. Hypothesis testing.srt 10.26KB
  • 11. Hypothesis Testing,3.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf 700.23KB
  • 11. Hypothesis Testing,4. Type I and Type II errors.mp4 41.66MB
  • 11. Hypothesis Testing,4. Type I and Type II errors.srt 4.49KB
  • 11. Hypothesis Testing,4.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf 700.23KB
  • 11. Hypothesis Testing,5. Test for the mean - population variance known.mp4 58.64MB
  • 11. Hypothesis Testing,5. Test for the mean - population variance known.srt 9.53KB
  • 11. Hypothesis Testing,5.1 ztest-a.csv 234.00Bytes
  • 11. Hypothesis Testing,6. Exercise Test for the mean - population variance known.html 380.00Bytes
  • 11. Hypothesis Testing,6.1 Test for the mean - population variance known exercise solution.html 178.00Bytes
  • 11. Hypothesis Testing,6.2 ztest-a.csv 234.00Bytes
  • 11. Hypothesis Testing,7. The P-value.mp4 60.63MB
  • 11. Hypothesis Testing,7. The P-value.srt 6.48KB
  • 11. Hypothesis Testing,7.1 R Programming for Statistics and Data Science - Course notes - Hypothesis testing.pdf 700.23KB
  • 11. Hypothesis Testing,8. Test for the mean - Population variance unknown.mp4 54.76MB
  • 11. Hypothesis Testing,8. Test for the mean - Population variance unknown.srt 7.12KB
  • 11. Hypothesis Testing,8.1 ttest-a.csv 70.00Bytes
  • 11. Hypothesis Testing,9. Exercise Test for the mean - population variance unknown.html 548.00Bytes
  • 11. Hypothesis Testing,9.1 ttest-a.csv 70.00Bytes
  • 11. Hypothesis Testing,9.2 Test for the mean - population variance unknown exercise solution.html 180.00Bytes
  • 12. Linear Regression Analysis,1. The linear regression model.mp4 57.54MB
  • 12. Linear Regression Analysis,1. The linear regression model.srt 7.13KB
  • 12. Linear Regression Analysis,2. Correlation vs regression.mp4 15.49MB
  • 12. Linear Regression Analysis,2. Correlation vs regression.srt 2.13KB
  • 12. Linear Regression Analysis,3. Geometrical representation.mp4 6.74MB
  • 12. Linear Regression Analysis,3. Geometrical representation.srt 2.15KB
  • 12. Linear Regression Analysis,4. First regression in R.mp4 37.93MB
  • 12. Linear Regression Analysis,4. First regression in R.srt 5.69KB
  • 12. Linear Regression Analysis,4.1 regression_example.csv 933.00Bytes
  • 12. Linear Regression Analysis,5. How to interpret the regression table.mp4 50.28MB
  • 12. Linear Regression Analysis,5. How to interpret the regression table.srt 5.74KB
  • 12. Linear Regression Analysis,6. Exercise Doing a regression in R.html 866.00Bytes
  • 12. Linear Regression Analysis,6.1 Linear regression in R - solution.html 147.00Bytes
  • 12. Linear Regression Analysis,6.2 real_estate_price_size_year_view.csv 3.39KB
  • 12. Linear Regression Analysis,7. Decomposition of variability SST, SSR, SSE.mp4 49.19MB
  • 12. Linear Regression Analysis,7. Decomposition of variability SST, SSR, SSE.srt 4.33KB
  • 12. Linear Regression Analysis,8. R-squared.mp4 34.41MB
  • 12. Linear Regression Analysis,8. R-squared.srt 6.56KB
  • 12. Linear Regression Analysis,9. Completed 100% of the course.html 1.19KB
  • 2. Getting started,1. Intro.mp4 6.77MB
  • 2. Getting started,1. Intro.srt 1.47KB
  • 2. Getting started,2. Downloading and installing R & RStudio.mp4 14.09MB
  • 2. Getting started,2. Downloading and installing R & RStudio.srt 4.52KB
  • 2. Getting started,3. Quick guide to the RStudio user interface.mp4 14.89MB
  • 2. Getting started,3. Quick guide to the RStudio user interface.srt 11.04KB
  • 2. Getting started,3.1 RStudio shortcuts.pdf 685.40KB
  • 2. Getting started,4. RStudio's GUI.html 156.00Bytes
  • 2. Getting started,5. Changing the appearance in RStudio.mp4 4.18MB
  • 2. Getting started,5. Changing the appearance in RStudio.srt 2.75KB
  • 2. Getting started,6. Installing packages in R and using the library.mp4 27.70MB
  • 2. Getting started,6. Installing packages in R and using the library.srt 7.22KB
  • 3. The building blocks of R,1. Creating an object in R.mp4 43.96MB
  • 3. The building blocks of R,1. Creating an object in R.srt 7.44KB
  • 3. The building blocks of R,10. Exercise 4 Using functions in R.html 1.30KB
  • 3. The building blocks of R,10.1 Using functions in R - solution.html 145.00Bytes
  • 3. The building blocks of R,11. Functions and arguments.mp4 4.52MB
  • 3. The building blocks of R,11. Functions and arguments.srt 3.55KB
  • 3. The building blocks of R,12. Exercise 5 The arguments of a function.html 727.00Bytes
  • 3. The building blocks of R,12.1 The arguments of a function - solution.html 154.00Bytes
  • 3. The building blocks of R,13. Building a function in R (basics).mp4 24.60MB
  • 3. The building blocks of R,13. Building a function in R (basics).srt 12.18KB
  • 3. The building blocks of R,14. Objects and Functions.html 156.00Bytes
  • 3. The building blocks of R,15. Exercise 6 Building a function in R.html 831.00Bytes
  • 3. The building blocks of R,15.1 Building a function in R - solution.html 151.00Bytes
  • 3. The building blocks of R,16. Using the script vs. using the console.mp4 9.33MB
  • 3. The building blocks of R,16. Using the script vs. using the console.srt 3.97KB
  • 3. The building blocks of R,2. Exercise 1 Creating an object in R.html 817.00Bytes
  • 3. The building blocks of R,2.1 Creating an object in R - solution.html 150.00Bytes
  • 3. The building blocks of R,3. Data types in R - Integers and doubles.mp4 8.39MB
  • 3. The building blocks of R,3. Data types in R - Integers and doubles.srt 6.46KB
  • 3. The building blocks of R,4. Data types in R - Characters and logicals.mp4 6.36MB
  • 3. The building blocks of R,4. Data types in R - Characters and logicals.srt 4.57KB
  • 3. The building blocks of R,5. Objects and Data Types.html 156.00Bytes
  • 3. The building blocks of R,6. Exercise 2 Data types in R.html 1.22KB
  • 3. The building blocks of R,6.1 Data types in R - solution.html 140.00Bytes
  • 3. The building blocks of R,7. Coercion rules in R.mp4 5.44MB
  • 3. The building blocks of R,7. Coercion rules in R.srt 3.66KB
  • 3. The building blocks of R,8. Exercise 3 Coercion rules in R.html 644.00Bytes
  • 3. The building blocks of R,8.1 Coercion Rules in R - Solution.html 144.00Bytes
  • 3. The building blocks of R,9. Functions in R.mp4 6.18MB
  • 3. The building blocks of R,9. Functions in R.srt 4.31KB
  • 4. Vectors and vector operations,1. Intro.mp4 12.25MB
  • 4. Vectors and vector operations,1. Intro.srt 1.77KB
  • 4. Vectors and vector operations,10. Slicing and indexing a vector in R.mp4 19.04MB
  • 4. Vectors and vector operations,10. Slicing and indexing a vector in R.srt 8.07KB
  • 4. Vectors and vector operations,11. Extracting elements from a vector.html 156.00Bytes
  • 4. Vectors and vector operations,12. Exercise 9 Indexing and slicing a vector.html 432.00Bytes
  • 4. Vectors and vector operations,12.1 Indexing and slicing a vector - solution.html 156.00Bytes
  • 4. Vectors and vector operations,13. Changing the dimensions of an object in R.mp4 8.93MB
  • 4. Vectors and vector operations,13. Changing the dimensions of an object in R.srt 5.53KB
  • 4. Vectors and vector operations,13.1 Course notes - Section II, III, IV.pdf 630.05KB
  • 4. Vectors and vector operations,14. Exercise 10 Vector attributes - dimensions.html 785.00Bytes
  • 4. Vectors and vector operations,14.1 Changing dimensions in R - solution.html 149.00Bytes
  • 4. Vectors and vector operations,2. Introduction to vectors.mp4 6.92MB
  • 4. Vectors and vector operations,2. Introduction to vectors.srt 4.44KB
  • 4. Vectors and vector operations,3. Vector recycling.mp4 5.13MB
  • 4. Vectors and vector operations,3. Vector recycling.srt 2.20KB
  • 4. Vectors and vector operations,4. Exercise 7 Vector recycling.html 1.16KB
  • 4. Vectors and vector operations,4.1 Vector recycling - solution.html 137.00Bytes
  • 4. Vectors and vector operations,5. Naming a vector in R.mp4 9.11MB
  • 4. Vectors and vector operations,5. Naming a vector in R.srt 3.86KB
  • 4. Vectors and vector operations,6. Exercise 8 Vector attributes - names.html 585.00Bytes
  • 4. Vectors and vector operations,6.1 Vector attributes - names - solution.html 150.00Bytes
  • 4. Vectors and vector operations,7. Introduction to vectors.html 156.00Bytes
  • 4. Vectors and vector operations,8. Getting help with R.mp4 24.77MB
  • 4. Vectors and vector operations,8. Getting help with R.srt 8.47KB
  • 4. Vectors and vector operations,9. Getting Help with R.html 156.00Bytes
  • 5. Matrices,1. Creating a matrix in R.mp4 11.66MB
  • 5. Matrices,1. Creating a matrix in R.srt 7.69KB
  • 5. Matrices,10. Exercise 13 Matrix arithmetic.html 1.28KB
  • 5. Matrices,10.1 Matrix arithmetic - solution.html 138.00Bytes
  • 5. Matrices,11. Matrix operations in R.mp4 10.52MB
  • 5. Matrices,11. Matrix operations in R.srt 5.31KB
  • 5. Matrices,12. Matrix operations.html 156.00Bytes
  • 5. Matrices,13. Exercise 14 Matrix operations.html 895.00Bytes
  • 5. Matrices,13.1 Matrix operations - solution.html 138.00Bytes
  • 5. Matrices,14. Categorical data.mp4 30.85MB
  • 5. Matrices,14. Categorical data.srt 4.29KB
  • 5. Matrices,15. Creating a factor in R.mp4 20.78MB
  • 5. Matrices,15. Creating a factor in R.srt 6.85KB
  • 5. Matrices,15.1 Course notes - Section II, III, IV, V.pdf 693.00KB
  • 5. Matrices,16. Factors in R.html 156.00Bytes
  • 5. Matrices,17. Exercise 15 Creating a factor in R.html 415.00Bytes
  • 5. Matrices,17.1 Creating a factor in R - solution.html 149.00Bytes
  • 5. Matrices,18. Lists in R.mp4 50.23MB
  • 5. Matrices,18. Lists in R.srt 8.11KB
  • 5. Matrices,19. Exercise Lists in R.html 1.47KB
  • 5. Matrices,19.1 Lists in R - Exercise Solution.html 133.00Bytes
  • 5. Matrices,2. Faster code creating a matrix in a single line of code.mp4 5.71MB
  • 5. Matrices,2. Faster code creating a matrix in a single line of code.srt 3.34KB
  • 5. Matrices,20. Completed 33% of the course.html 1.01KB
  • 5. Matrices,3. Creating a matrix.html 156.00Bytes
  • 5. Matrices,4. Exercise 11 Creating a matrix in R.html 682.00Bytes
  • 5. Matrices,4.1 Creating a matrix in R - solution.html 149.00Bytes
  • 5. Matrices,5. Do matrices recycle.mp4 3.39MB
  • 5. Matrices,5. Do matrices recycle.srt 1.91KB
  • 5. Matrices,6. Indexing an element from a matrix.mp4 15.20MB
  • 5. Matrices,6. Indexing an element from a matrix.srt 4.60KB
  • 5. Matrices,7. Slicing a matrix in R.mp4 7.37MB
  • 5. Matrices,7. Slicing a matrix in R.srt 3.73KB
  • 5. Matrices,8. Exercise 12 Indexing and slicing a matrix.html 914.00Bytes
  • 5. Matrices,8.1 Indexing and slicing a matrix - solution.html 156.00Bytes
  • 5. Matrices,9. Matrix arithmetic.mp4 14.32MB
  • 5. Matrices,9. Matrix arithmetic.srt 7.34KB
  • 6. Fundamentals of programming with R,1. Relational operators in R.mp4 7.55MB
  • 6. Fundamentals of programming with R,1. Relational operators in R.srt 6.44KB
  • 6. Fundamentals of programming with R,10. Exercise For Loops in R.html 132.00Bytes
  • 6. Fundamentals of programming with R,10.1 For Loops in R Exercise Solution.html 130.00Bytes
  • 6. Fundamentals of programming with R,11. While loops in R.mp4 7.94MB
  • 6. Fundamentals of programming with R,11. While loops in R.srt 5.56KB
  • 6. Fundamentals of programming with R,12. Exercise While loops in R.html 134.00Bytes
  • 6. Fundamentals of programming with R,12.1 While Loops in R Exercise Solution.html 132.00Bytes
  • 6. Fundamentals of programming with R,13. Repeat loops in R.mp4 6.45MB
  • 6. Fundamentals of programming with R,13. Repeat loops in R.srt 4.06KB
  • 6. Fundamentals of programming with R,14. Loops in R.html 156.00Bytes
  • 6. Fundamentals of programming with R,15. Building a function in R 2.0.mp4 31.78MB
  • 6. Fundamentals of programming with R,15. Building a function in R 2.0.srt 6.67KB
  • 6. Fundamentals of programming with R,15.1 Generate the data we used in the previous lessons.html 136.00Bytes
  • 6. Fundamentals of programming with R,16. Building a function in R 2.0 - Scoping.mp4 51.75MB
  • 6. Fundamentals of programming with R,16. Building a function in R 2.0 - Scoping.srt 6.71KB
  • 6. Fundamentals of programming with R,17. Exercise Scoping.html 350.00Bytes
  • 6. Fundamentals of programming with R,17.1 Scoping Exercise Solution.html 126.00Bytes
  • 6. Fundamentals of programming with R,18. Completed 50% of the course.html 1.13KB
  • 6. Fundamentals of programming with R,2. Logical operators in R.mp4 5.08MB
  • 6. Fundamentals of programming with R,2. Logical operators in R.srt 3.98KB
  • 6. Fundamentals of programming with R,3. Vectors and logicals operators.mp4 3.92MB
  • 6. Fundamentals of programming with R,3. Vectors and logicals operators.srt 3.01KB
  • 6. Fundamentals of programming with R,4. Relational and Logical operators in R.html 156.00Bytes
  • 6. Fundamentals of programming with R,5. Exercise Logical operators.html 67.00Bytes
  • 6. Fundamentals of programming with R,5.1 Logical operators exercise solution.html 138.00Bytes
  • 6. Fundamentals of programming with R,6. If, else, else if statements in R.mp4 9.67MB
  • 6. Fundamentals of programming with R,6. If, else, else if statements in R.srt 6.86KB
  • 6. Fundamentals of programming with R,7. Exercise If, else, else if statements in R.html 1.32KB
  • 6. Fundamentals of programming with R,7.1 If, else, else if - exercise solution.html 140.00Bytes
  • 6. Fundamentals of programming with R,8. If, else, else if statements - Keep-In-Mind's.mp4 6.45MB
  • 6. Fundamentals of programming with R,8. If, else, else if statements - Keep-In-Mind's.srt 4.82KB
  • 6. Fundamentals of programming with R,9. For loops in R.mp4 11.55MB
  • 6. Fundamentals of programming with R,9. For loops in R.srt 8.76KB
  • 7. Data frames,1. Intro.mp4 6.64MB
  • 7. Data frames,1. Intro.srt 1.27KB
  • 7. Data frames,10. Getting a sense of your data frame.mp4 8.93MB
  • 7. Data frames,10. Getting a sense of your data frame.srt 5.18KB
  • 7. Data frames,10.1 pokRdex-comma.csv 50.46KB
  • 7. Data frames,11. Indexing and slicing a data frame in R.mp4 10.09MB
  • 7. Data frames,11. Indexing and slicing a data frame in R.srt 5.57KB
  • 7. Data frames,12. Data frame operations.html 156.00Bytes
  • 7. Data frames,13. Extending a data frame in R.mp4 9.99MB
  • 7. Data frames,13. Extending a data frame in R.srt 5.16KB
  • 7. Data frames,14. Exercise 18 Data frame operations.html 1.20KB
  • 7. Data frames,14.1 Data frames operations - solution.html 144.00Bytes
  • 7. Data frames,15. Dealing with missing data in R.mp4 10.70MB
  • 7. Data frames,15. Dealing with missing data in R.srt 6.29KB
  • 7. Data frames,2. Creating a data frame in R.mp4 18.98MB
  • 7. Data frames,2. Creating a data frame in R.srt 6.66KB
  • 7. Data frames,3. Exercise 16 Creating a data frame in R.html 566.00Bytes
  • 7. Data frames,3.1 Creating a data frame in R - solution.html 146.00Bytes
  • 7. Data frames,4. The Tidyverse package.mp4 15.18MB
  • 7. Data frames,4. The Tidyverse package.srt 4.03KB
  • 7. Data frames,5. Data import in R.mp4 6.45MB
  • 7. Data frames,5. Data import in R.srt 4.75KB
  • 7. Data frames,5.1 pokRdex_comma.csv 60.46KB
  • 7. Data frames,5.2 pokRdex_tab.txt 32.23KB
  • 7. Data frames,6. Importing a CSV in R.mp4 8.18MB
  • 7. Data frames,6. Importing a CSV in R.srt 4.04KB
  • 7. Data frames,7. Data export in R.mp4 6.32MB
  • 7. Data frames,7. Data export in R.srt 3.52KB
  • 7. Data frames,8. Exercise 17 Importing and exporting data in R.html 744.00Bytes
  • 7. Data frames,8.1 employee_data.csv 74.40KB
  • 7. Data frames,8.2 Importing and exporting data in R - solution.html 162.00Bytes
  • 7. Data frames,9. Creating data frames.html 156.00Bytes
  • 8. Manipulating data,1. Intro.mp4 15.47MB
  • 8. Manipulating data,1. Intro.srt 1.57KB
  • 8. Manipulating data,10. Tidying data.html 156.00Bytes
  • 8. Manipulating data,11. Exercise 20 Data tidying with Tidyr.html 696.00Bytes
  • 8. Manipulating data,11.1 Data tidying with Tidyr - solution.html 148.00Bytes
  • 8. Manipulating data,11.2 weather_untidy.csv 2.81KB
  • 8. Manipulating data,11.3 tb_untidy.csv 14.45KB
  • 8. Manipulating data,2. Data transformation with R - the Dplyr package - Part I.mp4 18.17MB
  • 8. Manipulating data,2. Data transformation with R - the Dplyr package - Part I.srt 6.86KB
  • 8. Manipulating data,3. Data transformation with R - the Dplyr package - Part II.mp4 7.36MB
  • 8. Manipulating data,3. Data transformation with R - the Dplyr package - Part II.srt 4.15KB
  • 8. Manipulating data,4. Sampling data with the Dplyr package.mp4 3.99MB
  • 8. Manipulating data,4. Sampling data with the Dplyr package.srt 2.11KB
  • 8. Manipulating data,5. Using the pipe operator in R.mp4 7.32MB
  • 8. Manipulating data,5. Using the pipe operator in R.srt 3.66KB
  • 8. Manipulating data,6. Manipulating data.html 156.00Bytes
  • 8. Manipulating data,7. Exercise 19 Data transformation with Dplyr.html 935.00Bytes
  • 8. Manipulating data,7.1 employee_data.csv 74.40KB
  • 8. Manipulating data,7.2 Data transformation with Dplyr - solution.html 155.00Bytes
  • 8. Manipulating data,8. Tidying data in R - gather() and separate().mp4 18.70MB
  • 8. Manipulating data,8. Tidying data in R - gather() and separate().srt 9.00KB
  • 8. Manipulating data,8.1 billboard.csv 95.34KB
  • 8. Manipulating data,8.2 tb.csv 10.89KB
  • 8. Manipulating data,9. Tidying data in R - unite() and spread().mp4 6.01MB
  • 8. Manipulating data,9. Tidying data in R - unite() and spread().srt 3.34KB
  • 8. Manipulating data,9.1 weather.csv 1.88KB
  • 9. Visualizing data,1. Intro.mp4 6.66MB
  • 9. Visualizing data,1. Intro.srt 1.43KB
  • 9. Visualizing data,10. Exercise 23 Building a box plot with ggplot2.html 1.12KB
  • 9. Visualizing data,10.1 Building a boxplot with ggplot2 - solution.html 158.00Bytes
  • 9. Visualizing data,11. Building a scatterplot with ggplot2.mp4 16.84MB
  • 9. Visualizing data,11. Building a scatterplot with ggplot2.srt 7.38KB
  • 9. Visualizing data,2. Intro to data visualization.mp4 7.38MB
  • 9. Visualizing data,2. Intro to data visualization.srt 4.80KB
  • 9. Visualizing data,3. Intro to ggplot2.mp4 24.34MB
  • 9. Visualizing data,3. Intro to ggplot2.srt 8.58KB
  • 9. Visualizing data,3.1 hdi-cpi.csv 6.34KB
  • 9. Visualizing data,4. Variables revisited.mp4 10.33MB
  • 9. Visualizing data,4. Variables revisited.srt 6.92KB
  • 9. Visualizing data,5. Building a histogram with ggplot2.mp4 22.58MB
  • 9. Visualizing data,5. Building a histogram with ggplot2.srt 8.76KB
  • 9. Visualizing data,5.1 titanic.csv 59.76KB
  • 9. Visualizing data,6. Exercise 21 Building a histogram with ggplot2.html 631.00Bytes
  • 9. Visualizing data,6.1 employee-data.csv 74.40KB
  • 9. Visualizing data,6.2 Building a histogram with ggplot2 - solution.html 160.00Bytes
  • 9. Visualizing data,7. Building a bar chart with ggplot2.mp4 12.21MB
  • 9. Visualizing data,7. Building a bar chart with ggplot2.srt 8.74KB
  • 9. Visualizing data,8. Exercise 22 Building a bar chart with ggplot2.html 771.00Bytes
  • 9. Visualizing data,8.1 Building a bar chart with ggplot2 - solution.html 162.00Bytes
  • 9. Visualizing data,9. Building a box and whiskers plot with ggplot2.mp4 20.28MB
  • 9. Visualizing data,9. Building a box and whiskers plot with ggplot2.srt 8.13KB
  • [GigaCourse.com].url 49.00Bytes