| 292FEBB6ED90C7B4D90CB3E1500016C26C3B45E2

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Total Size	1.9 GB
Total Files	528
Hash	292FEBB6ED90C7B4D90CB3E1500016C26C3B45E2

/Pluralsight Path. Cleaning Data with R (2020)/
Manipulating String Data in R (Jaya Trivedi, 2019).html	62.5 KB
Manipulating String Data in R (Jaya Trivedi, 2019).png	273.9 KB
scr 2023-04.png	135.0 KB
~i.txt	1.4 KB
/.../A1. Querying and Converting Data Types in R (Martin Burger, 2019)/
cover.jpg	486.9 KB
exercise.7z	3.4 MB
playlist.m3u	2.3 KB
~i.txt	1.7 KB
/.../A1. Querying and Converting Data Types in R (Martin Burger, 2019)/1. Course Overview/
1. Course Overview.mp4	4.1 MB
1. Course Overview.vtt	2.5 KB
/.../2. Understanding Dataset Structures and Formats/
01. Intro.mp4	2.5 MB
01. Intro.vtt	1.8 KB
02. Managing Expectations.mp4	6.9 MB
02. Managing Expectations.vtt	4.8 KB
03. RStudio Orientation.mp4	20.6 MB
03. RStudio Orientation.vtt	8.0 KB
04. Packages Used in the Course.mp4	5.9 MB
04. Packages Used in the Course.vtt	2.0 KB
05. Exploring Datasets.mp4	25.7 MB
05. Exploring Datasets.vtt	10.6 KB
06. Course Datasets.mp4	5.7 MB
06. Course Datasets.vtt	2.8 KB
07. Tabular Data.mp4	5.7 MB
07. Tabular Data.vtt	3.3 KB
08. Alternatives to a Data Frame.mp4	9.8 MB
08. Alternatives to a Data Frame.vtt	5.5 KB
09. Dimensionality in Data Formats.mp4	4.7 MB
09. Dimensionality in Data Formats.vtt	3.7 KB
10. Outro.mp4	2.9 MB
10. Outro.vtt	2.5 KB
/.../3. Selecting and Converting Data Types/
1. Intro.mp4	2.1 MB
1. Intro.vtt	1.5 KB
2. Data Format Overview.mp4	6.9 MB
2. Data Format Overview.vtt	4.8 KB
3. Integer and Numeric Data.mp4	10.3 MB
3. Integer and Numeric Data.vtt	5.2 KB
4. Character and Factor Variables.mp4	11.8 MB
4. Character and Factor Variables.vtt	4.9 KB
5. Boolean or Logical Data.mp4	11.9 MB
5. Boolean or Logical Data.vtt	3.1 KB
6. Date and Time Formats.mp4	21.6 MB
6. Date and Time Formats.vtt	9.5 KB
7. Converting Character to Date and Time.mp4	18.8 MB
7. Converting Character to Date and Time.vtt	6.5 KB
8. Working with Lists.mp4	6.6 MB
8. Working with Lists.vtt	4.4 KB
9. Summary.mp4	3.0 MB
9. Summary.vtt	2.5 KB
/.../4. Querying and Filtering Data/
1. Intro.mp4	2.7 MB
1. Intro.vtt	2.1 KB
2. Queries on a data.frame with Box Brackets.mp4	7.3 MB
2. Queries on a data.frame with Box Brackets.vtt	3.2 KB
3. Queries on a data.frame Based on Logical Tests.mp4	17.3 MB
3. Queries on a data.frame Based on Logical Tests.vtt	4.9 KB
4. Queries on a data.table.mp4	11.3 MB
4. Queries on a data.table.vtt	5.9 KB
5. Advanced Queries on a data.table.mp4	20.6 MB
5. Advanced Queries on a data.table.vtt	7.9 KB
6. Queries on a tibble.mp4	17.8 MB
6. Queries on a tibble.vtt	8.3 KB
7. Single Table Verbs in dplyr.mp4	17.1 MB
7. Single Table Verbs in dplyr.vtt	5.4 KB
8. Queries on String Data.mp4	15.2 MB
8. Queries on String Data.vtt	5.5 KB
9. Summary.mp4	2.8 MB
9. Summary.vtt	2.0 KB
/.../5. Course Summary and Further Resources/
1. Intro.mp4	1.6 MB
1. Intro.vtt	1.2 KB
2. What Is the Tidyverse.mp4	12.9 MB
2. What Is the Tidyverse.vtt	10.6 KB
3. Avoid this Mistake while Learning R.mp4	5.6 MB
3. Avoid this Mistake while Learning R.vtt	4.3 KB
4. Course Summary.mp4	6.9 MB
4. Course Summary.vtt	4.4 KB
5. Next Steps.mp4	4.1 MB
5. Next Steps.vtt	3.4 KB
/.../A2. Manipulating Dataframes in R (Chase DeHan, 2019)/
cover.jpg	455.2 KB
exercise.7z	8.3 MB
playlist.m3u	0.8 KB
~i.txt	1.3 KB
/.../A2. Manipulating Dataframes in R (Chase DeHan, 2019)/1. Course Overview/
1. Course Overview.mp4	3.2 MB
1. Course Overview.vtt	2.0 KB
/.../2. Understanding Dataframe Basics/
1. Creating a Dataframe.mp4	9.4 MB
1. Creating a Dataframe.vtt	9.8 KB
2. Inspecting.mp4	11.1 MB
2. Inspecting.vtt	9.7 KB
3. Essential Functionality.mp4	9.7 MB
3. Essential Functionality.vtt	9.8 KB
/.../A2. Manipulating Dataframes in R (Chase DeHan, 2019)/3. Slicing Dataframes/
1. Accessing with Square Brackets.mp4	15.9 MB
1. Accessing with Square Brackets.vtt	12.7 KB
2. Accessing Subsets of Data.mp4	9.7 MB
2. Accessing Subsets of Data.vtt	8.6 KB
3. Accessing Columns and Subsets.mp4	9.5 MB
3. Accessing Columns and Subsets.vtt	7.8 KB
/.../4. Filtering Rows by Criteria/
1. Booleans and Dataframes.mp4	10.8 MB
1. Booleans and Dataframes.vtt	9.7 KB
2. Filtering on Conditions.mp4	19.4 MB
2. Filtering on Conditions.vtt	11.0 KB
3. Applying Booleans to Column Names.mp4	14.2 MB
3. Applying Booleans to Column Names.vtt	8.6 KB
/.../5. Manipulating Dataframes with dplyr/
1. Select.mp4	10.1 MB
1. Select.vtt	8.0 KB
2. Select and Rename.mp4	7.8 MB
2. Select and Rename.vtt	6.6 KB
3. Filter.mp4	11.1 MB
3. Filter.vtt	8.1 KB
4. Pipe Operator.mp4	8.1 MB
4. Pipe Operator.vtt	9.0 KB
/.../B1. Manipulating String Data in R (Martin Burger, 2020)/
cover.jpg	114.8 KB
exercise.7z	1.9 MB
playlist.m3u	2.1 KB
~i.txt	1.5 KB
/.../B1. Manipulating String Data in R (Martin Burger, 2020)/1. Course Overview/
1. Course Overview.mp4	3.7 MB
1. Course Overview.vtt	1.8 KB
/.../2. Understanding String Data/
1. Introduction.mp4	2.5 MB
1. Introduction.vtt	1.7 KB
2. Managing Expectations.mp4	4.6 MB
2. Managing Expectations.vtt	3.6 KB
3. Working with Strings - Simple Example.mp4	7.7 MB
3. Working with Strings - Simple Example.vtt	5.2 KB
4. Main Problems of Working with Strings.mp4	11.0 MB
4. Main Problems of Working with Strings.vtt	7.5 KB
5. Pattern Matching and Replacement with Substitute Functions.mp4	7.2 MB
5. Pattern Matching and Replacement with Substitute Functions.vtt	5.4 KB
6. Regular Expressions.mp4	8.7 MB
6. Regular Expressions.vtt	6.3 KB
7. Regular Expressions Use Cases and Metacharacters.mp4	12.3 MB
7. Regular Expressions Use Cases and Metacharacters.vtt	8.3 KB
8. Summary.mp4	2.6 MB
8. Summary.vtt	1.9 KB
/.../3. Working on Strings with R Base and Regex/
1. Introduction.mp4	2.5 MB
1. Introduction.vtt	1.9 KB
2. Escape Symbols.mp4	10.3 MB
2. Escape Symbols.vtt	7.2 KB
3. Matching Patterns at First and Last String Positions.mp4	6.5 MB
3. Matching Patterns at First and Last String Positions.vtt	4.2 KB
4. String Separation with Splitting Functions.mp4	11.6 MB
4. String Separation with Splitting Functions.vtt	5.0 KB
5. Date Time Related Strings.mp4	17.4 MB
5. Date Time Related Strings.vtt	7.5 KB
6. Repetition Quantifiers.mp4	14.7 MB
6. Repetition Quantifiers.vtt	10.1 KB
7. Summary.mp4	3.4 MB
7. Summary.vtt	2.5 KB
/.../4. Using the Package stringr/
1. Introduction.mp4	1.8 MB
1. Introduction.vtt	1.4 KB
2. The stringr Library.mp4	17.8 MB
2. The stringr Library.vtt	6.9 KB
3. Further String Operations with stringr.mp4	7.0 MB
3. Further String Operations with stringr.vtt	5.3 KB
4. Sort, Order, and Find Strings.mp4	21.8 MB
4. Sort, Order, and Find Strings.vtt	6.7 KB
5. Summary.mp4	3.1 MB
5. Summary.vtt	2.1 KB
/.../5. Using Advanced String Tools and Course Summary/
1. Introduction.mp4	3.2 MB
1. Introduction.vtt	2.2 KB
2. Sentiment Analysis with Opinion Lexicons.mp4	12.4 MB
2. Sentiment Analysis with Opinion Lexicons.vtt	7.2 KB
3. The Jane Austen Text Corpora for Exercise.mp4	16.4 MB
3. The Jane Austen Text Corpora for Exercise.vtt	4.8 KB
4. Working on Stop Words.mp4	11.9 MB
4. Working on Stop Words.vtt	6.2 KB
5. Getting the Frequency of Words.mp4	8.7 MB
5. Getting the Frequency of Words.vtt	4.2 KB
6. Sentiment Analysis.mp4	20.8 MB
6. Sentiment Analysis.vtt	9.3 KB
7. Inspecting and Refining Results.mp4	20.8 MB
7. Inspecting and Refining Results.vtt	8.4 KB
8. Course Summary.mp4	17.2 MB
8. Course Summary.vtt	4.4 KB
/.../B2. Coping with Missing, Invalid, and Duplicate Data in R (Martin Burger, 2019)/
cover.jpg	96.4 KB
exercise.7z	1.8 MB
playlist.m3u	1.9 KB
~i.txt	1.4 KB
/.../B2. Coping with Missing, Invalid, and Duplicate Data in R (Martin Burger, 2019)/1. Course Overview/
1. Course Overview.mp4	5.7 MB
1. Course Overview.vtt	2.1 KB
/.../2. Managing Duplicate Data/
1. Intro.mp4	1.9 MB
1. Intro.vtt	1.6 KB
2. Managing Expectations.mp4	7.7 MB
2. Managing Expectations.vtt	5.1 KB
3. Course Dataset.mp4	5.6 MB
3. Course Dataset.vtt	2.7 KB
4. Data Import.mp4	10.3 MB
4. Data Import.vtt	3.8 KB
5. Factors vs. Character Data.mp4	15.5 MB
5. Factors vs. Character Data.vtt	4.5 KB
6. Succession of Steps in Data Pre-processing.mp4	9.3 MB
6. Succession of Steps in Data Pre-processing.vtt	7.5 KB
7. Duplicate Data in R Base and dplyr.mp4	29.7 MB
7. Duplicate Data in R Base and dplyr.vtt	9.0 KB
8. Summary.mp4	2.1 MB
8. Summary.vtt	1.5 KB
/.../3. Managing Missing Data/
1. Intro.mp4	2.8 MB
1. Intro.vtt	2.4 KB
2. Understanding Missing Values.mp4	10.8 MB
2. Understanding Missing Values.vtt	8.9 KB
3. Quick and Simple Methods for Missing Values.mp4	15.1 MB
3. Quick and Simple Methods for Missing Values.vtt	7.2 KB
4. Imputation Methods.mp4	10.6 MB
4. Imputation Methods.vtt	5.4 KB
5. Using visdat for NA Visualizations.mp4	5.7 MB
5. Using visdat for NA Visualizations.vtt	3.0 KB
6. MICE for Missing Values.mp4	13.4 MB
6. MICE for Missing Values.vtt	4.3 KB
7. Machine Learning for Missing Values.mp4	31.8 MB
7. Machine Learning for Missing Values.vtt	10.6 KB
8. Working on the Carparts Dataset.mp4	16.2 MB
8. Working on the Carparts Dataset.vtt	6.6 KB
9. Summary.mp4	2.3 MB
9. Summary.vtt	1.9 KB
/.../4. Outlier and Invalid Data Detection/
1. Intro.mp4	2.2 MB
1. Intro.vtt	1.4 KB
2. Understanding Statistical Outliers.mp4	7.6 MB
2. Understanding Statistical Outliers.vtt	6.4 KB
3. Methods for Outlier Detection.mp4	8.3 MB
3. Methods for Outlier Detection.vtt	6.4 KB
4. The 6 Sigma Rule.mp4	17.2 MB
4. The 6 Sigma Rule.vtt	7.1 KB
5. The Boxplot Method.mp4	11.7 MB
5. The Boxplot Method.vtt	4.6 KB
6. Hypothesis Tests for Outliers.mp4	18.1 MB
6. Hypothesis Tests for Outliers.vtt	6.1 KB
7. Outliers in High Dimensionality.mp4	19.0 MB
7. Outliers in High Dimensionality.vtt	6.1 KB
8. Plausibility Checks and Replacement.mp4	18.1 MB
8. Plausibility Checks and Replacement.vtt	5.6 KB
9. Summary.mp4	3.5 MB
9. Summary.vtt	2.5 KB
/.../5. Further Resources and Summary/
1. Intro.mp4	2.0 MB
1. Intro.vtt	1.6 KB
2. Reproducibility in Pseudo Random Processes.mp4	7.2 MB
2. Reproducibility in Pseudo Random Processes.vtt	3.4 KB
3. Data Pre-processing Task Views.mp4	61.3 MB
3. Data Pre-processing Task Views.vtt	6.6 KB
4. Course Summary.mp4	8.1 MB
4. Course Summary.vtt	6.3 KB
/.../C1. Validating Data Using Asserts in R (Jason Browning, 2020)/
cover.jpg	121.3 KB
exercise.7z	1.7 MB
playlist.m3u	1.7 KB
~i.txt	1.4 KB
/.../C1. Validating Data Using Asserts in R (Jason Browning, 2020)/1. Course Overview/
1. Course Overview.mp4	3.3 MB
1. Course Overview.vtt	2.2 KB
/.../C1. Validating Data Using Asserts in R (Jason Browning, 2020)/2. Introducing Asserts/
1. Version Check.mp4	497.3 KB
1. Version Check.vtt	0.0 KB
2. Overview.mp4	1.9 MB
2. Overview.vtt	1.7 KB
3. Defining Asserts.mp4	2.0 MB
3. Defining Asserts.vtt	2.0 KB
4. Using Assertion Packages.mp4	3.4 MB
4. Using Assertion Packages.vtt	3.0 KB
5. Summary.mp4	733.8 KB
5. Summary.vtt	0.7 KB
/.../3. Validating Elements in a Column/
1. Overview.mp4	1.8 MB
1. Overview.vtt	1.8 KB
2. Introducing the assert Function.mp4	5.8 MB
2. Introducing the assert Function.vtt	4.9 KB
3. Demo - Using assert.mp4	6.8 MB
3. Demo - Using assert.vtt	4.2 KB
4. Demo - Using Specialized Predicates.mp4	6.6 MB
4. Demo - Using Specialized Predicates.vtt	4.0 KB
5. Summary.mp4	718.5 KB
5. Summary.vtt	0.7 KB
/.../4. Validating Elements Using the Column as a Whole/
1. Overview.mp4	1.9 MB
1. Overview.vtt	1.8 KB
2. Introducing the insist Function.mp4	4.6 MB
2. Introducing the insist Function.vtt	3.5 KB
3. Demo - Using insist.mp4	8.0 MB
3. Demo - Using insist.vtt	3.7 KB
4. Summary.mp4	920.6 KB
4. Summary.vtt	0.9 KB
/.../5. Validating Rows in a Dataset/
1. Overview.mp4	716.6 KB
1. Overview.vtt	0.7 KB
2. Introducing Row-wise Validation.mp4	1.7 MB
2. Introducing Row-wise Validation.vtt	1.3 KB
3. Asserting Rows.mp4	8.0 MB
3. Asserting Rows.vtt	5.9 KB
4. Demo - Using assert_rows.mp4	12.1 MB
4. Demo - Using assert_rows.vtt	6.2 KB
5. Insisting Rows.mp4	4.3 MB
5. Insisting Rows.vtt	3.1 KB
6. Summary.mp4	790.5 KB
6. Summary.vtt	0.7 KB
/.../6. Validating a Data Frame/
1. Overview.mp4	1.7 MB
1. Overview.vtt	1.5 KB
2. Conducting Checks of Equality.mp4	5.3 MB
2. Conducting Checks of Equality.vtt	4.8 KB
3. Validating Data Set Properties.mp4	2.9 MB
3. Validating Data Set Properties.vtt	2.4 KB
4. Validating Assertions R.mp4	5.6 MB
4. Validating Assertions R.vtt	3.2 KB
5. Summary.mp4	1.2 MB
5. Summary.vtt	1.2 KB
/.../C1. Validating Data Using Asserts in R (Jason Browning, 2020)/7. Summary/
1. Overview.mp4	875.1 KB
1. Overview.vtt	0.9 KB
2. Reviewing assertr Functions.mp4	2.0 MB
2. Reviewing assertr Functions.vtt	1.6 KB
3. Applying assertr Functions.mp4	4.2 MB
3. Applying assertr Functions.vtt	4.0 KB
4. Demo - Checking Multiple Asserts.mp4	9.4 MB
4. Demo - Checking Multiple Asserts.vtt	5.5 KB
5. Summary.mp4	824.3 KB
5. Summary.vtt	0.7 KB
/Pluralsight Path. Importing Data with R (2020)/
scr 2023-04.png	91.6 KB
~i.txt	0.9 KB
/.../A1. Importing Formatted Text Files. R Playbook (Justin Flett, 2019)/
cover.jpg	118.2 KB
exercise.7z	624.7 KB
playlist.m3u	2.0 KB
~i.txt	1.2 KB
/.../A1. Importing Formatted Text Files. R Playbook (Justin Flett, 2019)/1. Course Overview/
1. Course Overview.mp4	2.9 MB
1. Course Overview.vtt	1.8 KB
/.../2. Importing Text Files in R/
1. Introduction.mp4	1.5 MB
1. Introduction.vtt	1.2 KB
2. Understanding Text File Formats.mp4	5.4 MB
2. Understanding Text File Formats.vtt	4.9 KB
3. Reading a Text File with read.table().mp4	7.4 MB
3. Reading a Text File with read.table().vtt	4.5 KB
4. Using Additional read.table() Arguments.mp4	12.5 MB
4. Using Additional read.table() Arguments.vtt	6.4 KB
5. Reading Certain Lines of a Text File.mp4	7.0 MB
5. Reading Certain Lines of a Text File.vtt	3.9 KB
6. Summary.mp4	1.9 MB
6. Summary.vtt	1.7 KB
/.../3. Importing CSV Files in R/
1. Introduction.mp4	1.4 MB
1. Introduction.vtt	1.2 KB
2. Understanding CSV File Formats.mp4	3.6 MB
2. Understanding CSV File Formats.vtt	3.0 KB
3. Importing a CSV File with read.csv().mp4	7.1 MB
3. Importing a CSV File with read.csv().vtt	4.6 KB
4. Using Additional read.csv() Arguments.mp4	7.9 MB
4. Using Additional read.csv() Arguments.vtt	4.3 KB
5. Dealing with Missing Values.mp4	6.6 MB
5. Dealing with Missing Values.vtt	3.8 KB
6. Summary.mp4	1.7 MB
6. Summary.vtt	1.6 KB
/.../4. Importing Delimited Files in R/
1. Introduction.mp4	1.5 MB
1. Introduction.vtt	1.3 KB
2. Understanding Delimited File Formats.mp4	4.5 MB
2. Understanding Delimited File Formats.vtt	3.8 KB
3. Importing a Delimited File with read.delim().mp4	7.6 MB
3. Importing a Delimited File with read.delim().vtt	4.5 KB
4. Searching Dataframes with which.max() and which.min().mp4	8.5 MB
4. Searching Dataframes with which.max() and which.min().vtt	4.5 KB
5. Comparison of Importing Text, CSV, and Delimited Files.mp4	4.9 MB
5. Comparison of Importing Text, CSV, and Delimited Files.vtt	4.5 KB
6. Summary.mp4	2.0 MB
6. Summary.vtt	1.6 KB
/.../5. Importing JSON Files in R/
1. Introduction.mp4	1.5 MB
1. Introduction.vtt	1.2 KB
2. Understanding JSON File Formats.mp4	4.0 MB
2. Understanding JSON File Formats.vtt	3.3 KB
3. Converting JSON Data with fromJSON().mp4	6.7 MB
3. Converting JSON Data with fromJSON().vtt	4.0 KB
4. Importing a JSON File with fromJSON().mp4	7.0 MB
4. Importing a JSON File with fromJSON().vtt	3.7 KB
5. Importing JSON Data from a URL.mp4	4.2 MB
5. Importing JSON Data from a URL.vtt	2.0 KB
6. Summary.mp4	1.8 MB
6. Summary.vtt	1.6 KB
/.../6. Importing XML Files in R/
1. Introduction.mp4	1.2 MB
1. Introduction.vtt	1.0 KB
2. Understanding XML File Formats.mp4	3.9 MB
2. Understanding XML File Formats.vtt	3.1 KB
3. Importing an XML File.mp4	8.3 MB
3. Importing an XML File.vtt	4.7 KB
4. Importing XML Data from a URL.mp4	5.3 MB
4. Importing XML Data from a URL.vtt	2.6 KB
5. Further Learning and Next Steps.mp4	2.6 MB
5. Further Learning and Next Steps.vtt	2.6 KB
6. Summary.mp4	2.3 MB
6. Summary.vtt	1.8 KB
/.../A2. Importing Common Data File Formats. R Playbook (Jason Browning, 2020)/
cover.jpg	139.5 KB
exercise.7z	4.9 MB
playlist.m3u	2.8 KB
~i.txt	1.5 KB
/.../A2. Importing Common Data File Formats. R Playbook (Jason Browning, 2020)/1. Course Overview/
1. Course Overview.mp4	3.3 MB
1. Course Overview.vtt	2.5 KB
/.../2. Importing Data from Diverse Sources/
1. Version Check.mp4	514.3 KB
1. Version Check.vtt	0.0 KB
2. Overview.mp4	2.0 MB
2. Overview.vtt	1.9 KB
3. Understanding the Data.mp4	3.6 MB
3. Understanding the Data.vtt	3.5 KB
4. Importing Data with read.table().mp4	3.9 MB
4. Importing Data with read.table().vtt	3.3 KB
5. Demo - Importing Data with Base R.mp4	13.7 MB
5. Demo - Importing Data with Base R.vtt	8.1 KB
6. Summary.mp4	1.3 MB
6. Summary.vtt	1.1 KB
/.../3. Importing Data from Microsoft Excel/
1. Overview.mp4	1.8 MB
1. Overview.vtt	1.7 KB
2. Working with Packages.mp4	3.7 MB
2. Working with Packages.vtt	2.5 KB
3. Introducing XLConnect.mp4	2.2 MB
3. Introducing XLConnect.vtt	1.8 KB
4. Demo - Importing Data with XLConnect.mp4	5.0 MB
4. Demo - Importing Data with XLConnect.vtt	3.0 KB
5. Introducing readxl.mp4	1.5 MB
5. Introducing readxl.vtt	1.4 KB
6. Demo - Importing Data with readxl.mp4	3.3 MB
6. Demo - Importing Data with readxl.vtt	1.5 KB
7. Summary.mp4	2.1 MB
7. Summary.vtt	1.7 KB
/.../4. Refining the Microsoft Excel Import/
1. Overview.mp4	820.2 KB
1. Overview.vtt	0.9 KB
2. Working with Worksheets.mp4	2.6 MB
2. Working with Worksheets.vtt	1.9 KB
3. Importing Data with readxl.mp4	2.9 MB
3. Importing Data with readxl.vtt	1.9 KB
4. Limiting Rows and Columns.mp4	8.6 MB
4. Limiting Rows and Columns.vtt	6.1 KB
5. Demo - Refining the Excel Import.mp4	25.6 MB
5. Demo - Refining the Excel Import.vtt	8.1 KB
6. Summary.mp4	677.4 KB
6. Summary.vtt	0.6 KB
/.../5. Formatting the Microsoft Excel Import/
1. Overview.mp4	1.3 MB
1. Overview.vtt	1.2 KB
2. Naming Columns.mp4	5.2 MB
2. Naming Columns.vtt	3.5 KB
3. Assigning Data Types.mp4	3.5 MB
3. Assigning Data Types.vtt	2.2 KB
4. Handling Missing Values.mp4	4.0 MB
4. Handling Missing Values.vtt	2.3 KB
5. Demo - Formatting the Excel Import.mp4	17.9 MB
5. Demo - Formatting the Excel Import.vtt	8.5 KB
6. Summary.mp4	1.0 MB
6. Summary.vtt	0.8 KB
/.../6. Importing Data from SAS/
1. Overview.mp4	2.1 MB
1. Overview.vtt	1.7 KB
2. Importing Data Using sas7bdat.mp4	1.5 MB
2. Importing Data Using sas7bdat.vtt	1.2 KB
3. Importing Data Using haven.mp4	1.5 MB
3. Importing Data Using haven.vtt	1.5 KB
4. Limiting Rows and Columns.mp4	2.6 MB
4. Limiting Rows and Columns.vtt	1.9 KB
5. Demo - Importing SAS Data Using haven.mp4	9.1 MB
5. Demo - Importing SAS Data Using haven.vtt	4.7 KB
6. Summary.mp4	682.5 KB
6. Summary.vtt	0.6 KB
/.../7. Importing Data from Other Statistical Software/
1. Overview.mp4	2.7 MB
1. Overview.vtt	2.1 KB
2. Importing Data from Minitab.mp4	4.4 MB
2. Importing Data from Minitab.vtt	2.8 KB
3. Importing Data from Stata.mp4	2.4 MB
3. Importing Data from Stata.vtt	2.0 KB
4. Limiting Rows and Columns.mp4	3.1 MB
4. Limiting Rows and Columns.vtt	2.1 KB
5. Demo - Importing Stata Data Using haven.mp4	8.4 MB
5. Demo - Importing Stata Data Using haven.vtt	4.1 KB
6. Summary.mp4	943.5 KB
6. Summary.vtt	0.9 KB
/.../8. Importing Data from R/
1. Overview.mp4	1.7 MB
1. Overview.vtt	1.8 KB
2. Working with an RDA File.mp4	3.0 MB
2. Working with an RDA File.vtt	2.3 KB
3. Creating Singular Objects.mp4	1.4 MB
3. Creating Singular Objects.vtt	1.2 KB
4. Demo - Working with an RDA File.mp4	9.7 MB
4. Demo - Working with an RDA File.vtt	5.8 KB
5. Summary.mp4	1.4 MB
5. Summary.vtt	1.2 KB
/.../A3. Importing Data from Relational Databases in R (Dan Tofan, 2019)/
cover.jpg	136.7 KB
exercise.7z	1.0 MB
playlist.m3u	1.5 KB
~i.txt	2.1 KB
/.../A3. Importing Data from Relational Databases in R (Dan Tofan, 2019)/1. Course Overview/
1. Course Overview.mp4	4.4 MB
1. Course Overview.vtt	2.2 KB
/.../2. Connecting to a Database/
01. Version Check.mp4	514.0 KB
01. Version Check.vtt	0.0 KB
02. Overview.mp4	2.4 MB
02. Overview.vtt	1.7 KB
03. Connecting to a SQLite Database with RSQLite.mp4	15.5 MB
03. Connecting to a SQLite Database with RSQLite.vtt	6.2 KB
04. Connecting to a PostgreSQL Database with RPostgreSQL.mp4	11.4 MB
04. Connecting to a PostgreSQL Database with RPostgreSQL.vtt	4.4 KB
05. Setting Up an ODBC Data Source.mp4	12.0 MB
05. Setting Up an ODBC Data Source.vtt	7.2 KB
06. Connecting with the RODBC Package.mp4	7.7 MB
06. Connecting with the RODBC Package.vtt	2.0 KB
07. Connecting with the odbc Package.mp4	10.6 MB
07. Connecting with the odbc Package.vtt	3.6 KB
08. Troubleshooting Connection Issues.mp4	11.8 MB
08. Troubleshooting Connection Issues.vtt	4.8 KB
09. Securing Credentials.mp4	13.9 MB
09. Securing Credentials.vtt	6.8 KB
10. Summary.mp4	2.3 MB
10. Summary.vtt	1.9 KB
/.../3. Querying with SQL/
01. Overview.mp4	2.4 MB
01. Overview.vtt	2.4 KB
02. Selecting.mp4	10.2 MB
02. Selecting.vtt	5.0 KB
03. Ordering.mp4	8.6 MB
03. Ordering.vtt	3.5 KB
04. Filtering.mp4	9.6 MB
04. Filtering.vtt	3.7 KB
05. Grouping.mp4	9.4 MB
05. Grouping.vtt	5.0 KB
06. Joining.mp4	13.5 MB
06. Joining.vtt	5.4 KB
07. Updating.mp4	4.4 MB
07. Updating.vtt	1.7 KB
08. Inserting.mp4	2.7 MB
08. Inserting.vtt	1.2 KB
09. Deleting.mp4	3.5 MB
09. Deleting.vtt	2.1 KB
10. Fetching Many Records.mp4	13.2 MB
10. Fetching Many Records.vtt	5.8 KB
11. Parameterizing Queries.mp4	11.7 MB
11. Parameterizing Queries.vtt	5.1 KB
12. Summary.mp4	1.3 MB
12. Summary.vtt	1.3 KB
/.../4. Querying with dplyr/
1. Overview.mp4	2.2 MB
1. Overview.vtt	1.9 KB
2. Selecting.mp4	12.3 MB
2. Selecting.vtt	5.8 KB
3. Mutating.mp4	8.8 MB
3. Mutating.vtt	3.5 KB
4. Piping.mp4	5.6 MB
4. Piping.vtt	3.2 KB
5. Arranging.mp4	10.0 MB
5. Arranging.vtt	4.4 KB
6. Filtering.mp4	16.4 MB
6. Filtering.vtt	5.7 KB
7. Grouping.mp4	12.0 MB
7. Grouping.vtt	6.0 KB
8. Joining.mp4	12.5 MB
8. Joining.vtt	4.6 KB
9. Summary.mp4	2.8 MB
9. Summary.vtt	2.6 KB
Total files 528

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