
Data-Scientist-with-R
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Summary of R courses
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23. Introduction to Data Visualization with ggplot2
1. Introduction1.1 Introduction1.2 Explore and explain1.3 Drawing your first plot1.4 Data columns types affect plot types1.5 The grammar of graphics1.6 Mapping data columns to aesthetics1.7 Understanding variables1.8 ggplot2 layers1.9 Adding geome原创 2021-07-12 17:28:57 · 1925 阅读 · 0 评论 -
Data Scientist with R
1. Introduction to R2. Intermediate R3. Introduction to the Tidyverse4. Introduction to Importing Date in R5. Intermediate Importing Data in R6. Cleaning Data in R7. Importing & Cleaning in R: Case Study8. Introduction to Writing Functions in R原创 2021-07-05 09:04:11 · 164 阅读 · 0 评论 -
2. Intermediate R
1. Conditionals and Control Flow1.1 Relational Operators1.2 Equality1.3 Greater and less than1.4 Compare vectors1.5 Compare matrices1.6 Logical Operators1.7 & and |1.8 & and | (2)1.9 Reverse the result: !1.10 Blend it all together1.11 Co原创 2021-07-06 11:00:04 · 401 阅读 · 0 评论 -
3. Introduction to the Tidyverse
1. Data wrangling1.1 The gapminder dataset1.2 Loading the gapminder and dplyr packages1.3 Understanding a data frame1.4 The filter verb1.5 Filtering for one year1.6 Filtering for one country and one year1.7 The arrange verb1.8 Arranging observation原创 2021-07-06 09:15:58 · 502 阅读 · 0 评论 -
6. Cleaning Data in R
1. Introduction and Exploring the Data1.1 Introduction to cleaning data in R (video)1.2 The data cleaning process1.3 Here’s what messy data look like1.4 Here’s what clean data look like1.5 Explor...原创 2020-01-04 06:31:16 · 2644 阅读 · 0 评论 -
8. Introduction to Writing Functions in R
8-R-DataCamp-Introduction-to-Writing-Functions-in-R1. How to Write A Function1.1 Why you should use functions (video)1.2 Calling functions1.3 The benefits of writing functions1.4 Converting scrip...原创 2020-01-10 22:32:59 · 3506 阅读 · 0 评论 -
9. Data Manipulation with dplyr in R
1. Transforming Data with dplyrThe countries datasetUnderstanding you dataSelecting columnsThe filter and arrange verbsArranging observationsFiltering for conditionsFiltering and arrangingMuta...原创 2019-12-29 22:07:15 · 12000 阅读 · 0 评论 -
10. Joining Data with dplyr in R
1. Joining Tables1.1 The inner_join verb (video)1.2 What columns would you join on?1.3 Joining parts and part categories1.4 Joining with a one-to-many relationship1.5 Joining parts and inventorie...原创 2019-12-29 06:34:20 · 6957 阅读 · 0 评论 -
14. Working with Dates and Times in R
14-R-DataCamp-Working-with-Dates-and-Times-in-R1. Dates and Times in R1.1 Introduction to dates1.2 Recognising ISO 8601 dates1.3 Specifying dates1.4 Automatic import1.5 Why use dates?1.6 Plotti...原创 2020-01-11 04:38:48 · 1150 阅读 · 0 评论 -
15. Introduction to Data in R
15-R-DataCamp-Introduction-to-Data-in-R1. Languages of Data1.1 Welcome to the course1.2 Loading data into R1.3 Types of variables1.4 Identify variable types1.5 Categorical data in R: factors1.6...原创 2020-01-11 05:48:25 · 1787 阅读 · 0 评论 -
16. Exploratory Data Analysis in R
16-R-DataCamp-Exploratory-Data-Analysis-in-R1. Exploring Categorical Data1.1 Exploring categorical data1.2 Bar chart expectations1.3 Contingency table review1.4 Dropping levels1.5 Side-by-side b...原创 2020-01-11 06:04:29 · 1434 阅读 · 0 评论 -
17. Exploratory Data Analysis in R Case Study
17-R-DataCamp-Exploratory-Data-Analysis-in-R-Case-Study1. Data Cleaning and Summarizing with dplyr1.1 The United Nations Voting Dataset1.2 Filtering rows1.3 Adding a year column1.4 Adding a count...原创 2020-01-11 06:19:40 · 1874 阅读 · 0 评论 -
21. Unsupervised Learning in-R
21-R-DataCamp-Unsupervised-Learning-in-R1. Unsupervised Learning in R1.1 Welcome to the course1.2 Identify clustering problems1.3 Introduction to k-means clustering1.4 k-means clustering1.5 Resu...原创 2020-01-11 06:33:44 · 624 阅读 · 0 评论