# tt-images **Repository Path**: tidytuesday/tt-images ## Basic Information - **Project Name**: tt-images - **Description**: Tidy Tuesday 是一个针对 R 的每周数据项目,本专栏记录该项目中每周数据案例实现源码(为了便于理解,部分重要步骤均添加了注解),该项目重点是训练使用者如何总结、整理及展示数据,并鼓励大家多使用 ggplot2、tidyr、dplyr 和 tidyverse 等其它工具制作有意义的图表。 - **Primary Language**: R - **License**: MulanPSL-2.0 - **Default Branch**: master - **Homepage**: https://blog.csdn.net/Albert_XN?type=blog - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2022-10-16 - **Last Updated**: 2023-04-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: R, ggplot2, 数据可视化 ## README R 学习交流群:**189059061** Python 学习交流群:**327473248** Linux & Shell 学习交流群:**684676195**
# A weekly social data project in R A weekly data project aimed at the R ecosystem. As this project was borne out of the `R4DS Online Learning Community` and the `R for Data Science` textbook, an emphasis was placed on understanding how to summarize and arrange data to make meaningful charts with `ggplot2`, `tidyr`, `dplyr`, and other tools in the `tidyverse` ecosystem. However, any code-based methodology is welcome - just please remember to share the code used to generate the results. **官网地址**:Thomas Mock (2022). Tidy Tuesday: A weekly data project aimed at the R ecosystem. https://github.com/rfordatascience/tidytuesday. # 2018 合集 [2018 合集地址](2018),点击进入该地址查看所有示例的图片,点击图片可以访问该图片的生成方法。 如果传送出现 **404** 错误,应该就是还没整理到这里;或者 CSDN 传送提示: *啊哦~你想找的内容离你而去了哦*,说明示例已经画完,但还未整理到博客中,尽情期待! | Week | Date | Data | | :---: | :---: | :--- | | 1 | `2018-04-02` | [US Tuition Costs](2018/2018-04-02) | | 2 | `2018-04-09` | [NFL Positional Salaries](2018/2018-04-09) | | 3| `2018-04-16`| [Global Mortality](2018/2018-04-16) | | 4 | `2018-04-23`| [Australian Salaries by Gender](2018/2018-04-23) | | 5 | `2018-04-30` | [ACS Census Data (2015)](2018/2018-04-30) | | 6 | `2018-05-07`| [Global Coffee Chains](2018/2018-05-07) | | 7 | `2018-05-14` | [Star Wars Survey](2018/2018-05-14) | | 8 | `2018-05-21` | [US Honey Production](2018/2018-05-21) | | 9 | `2018-05-29` | [Comic book characters](2018/2018-05-29) | | 10 | `2018-06-05` | [Biketown Bikeshare](2018/2018-06-05) | | 11 | `2018-06-12` | [FIFA World Cup Audience](2018/2018-06-12) | | 12 | `2018-06-19` | [Hurricanes & Puerto Rico](2018/2018-06-19) | | 13 | `2018-06-26` | [Alcohol Consumption](2018/2018-06-26) | | 14 | `2018-07-03` | [Global Life Expectancy](2018/2018-07-03) | | 15 | `2018-07-10` | [Craft Beer USA](2018/2018-07-10) | | 16 | `2018-07-17` | [Exercise USA](2018/2018-07-17) | | 17 | `2018-07-23` | [p-hack-athon collaboration](2018/2018-07-23)| | 18 | `2018-07-31` | [Dallas Animal Shelter FY2017](2018/2018-07-31) | | 19 | `2018-08-07` | [Airline Safety](2018/2018-08-07) | | 20 | `2018-08-14` | [Russian Troll Tweets](2018/2018-08-14)| | 21 | `2018-08-21` | [California Fires](2018/2018-08-21) | | 22 | `2018-08-28` | [NFL Stats](2018/2018-08-28) | | 23 | `2018-09-04` | [Fast Food Calories](2018/2018-09-04) | | 24 | `2018-09-11` | [Cats vs Dogs (USA)](2018/2018-09-11) | | 25 | `2018-09-18` | [US Flights or Hypoxia](2018/2018-09-18) | | 26 | `2018-09-25` | [Global Invasive Species](2018/2018-09-25) | | 27 | `2018-10-02` | [US Births](2018/2018-10-02) | | 28 | `2018-10-09` | [US Voter Turnout](2018/2018-10-09) | | 29 | `2018-10-16` | [College Major & Income](2018/2018-10-16) | | 30 | `2018-10-23` | [Horror Movie Profit](2018/2018-10-23) | | 31 | `2018-10-30` | [R and R package downloads](2018/2018-10-30) | | 32 | `2018-11-06` | [US Wind Farm locations](2018/2018-11-06) | | 33 | `2018-11-13` | [Malaria Data](2018/2018-11-13) | | 34 | `2018-11-20` | [Thanksgiving Dinner or Transgender Day of Remembrance](2018/2018-11-20) | | 35 | `2018-11-27` | [Baltimore Bridges](2018/2018-11-27) | | 36 | `2018-12-04` | [Medium Article Metadata](2018/2018-12-04) | | 37 | `2018-12-11` | [NYC Restaurant inspections](2018/2018-12-11) | | 38 | `2018-12-18` | [Cetaceans Data](2018/2018-12-18) |