https://github.com/rosanafss/r-journey
Diving into to wonderful see of DATA
https://github.com/rosanafss/r-journey
data-analysis r
Last synced: 7 months ago
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Diving into to wonderful see of DATA
- Host: GitHub
- URL: https://github.com/rosanafss/r-journey
- Owner: RosanaFSS
- License: mit
- Created: 2021-04-20T21:25:08.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-07-12T14:29:37.000Z (almost 5 years ago)
- Last Synced: 2024-12-28T17:52:52.058Z (over 1 year ago)
- Topics: data-analysis, r
- Homepage:
- Size: 151 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Diving into the wonderful sea of DATA with R
## I just love **_R_** coding. š
#### Know a little about my journey learning and practicing **_R_** since Aug 2019
* July 2021 | Completed Google Data Analytics Professional Certificate 
* July 2021 | Completed Google Data Analytics Capstone: Complete a Case Study 
* April 2021 | Completed Google Data Analysis with R programming 
#### Capstone project, Data Visualization
##### Capstone project, Recommendation
* I recommend launching a Marketing Campaign to attract Casual Riders in June to our Docked Bikes service on weekends specially on Sundays focusing stations (1) Streeter Sr & Grand Ave, (2) Lake Shore Dr & Monroe St and (3) Millenium Park. In June Casual RidersĀ“ bike usage is high achieving its peak in July.
##### Capstone project, my coding
[coding](https://github.com/RosanaFSS/Timeline/blob/R-coding/Case%20Study%20Bike%20Sharing%2C%20Rosana%C2%B4s.R)
* ***
* Data Transformation [coding](https://github.com/RosanaFSS/Timeline/blob/R-coding/Data%20Transformation.R)
* Tooth growth analysis [coding](https://github.com/RosanaFSS/Timeline/blob/R-coding/ToothGrowth%20Analysis.R)
* AnscombeĀ“s Quartet and DatasauRus [coding](https://github.com/RosanaFSS/Timeline/blob/R-coding/Anscombe%C2%B4s%20Quartet%20and%20DatasauRus.R)
* Analyzing Bias [coding](https://github.com/RosanaFSS/Timeline/blob/R-coding/Analyzing%20Bias.R)
* Data visualization with ggplot [coding1](https://github.com/RosanaFSS/Timeline/blob/R-coding/Data%20Visualization%20with%20ggplot.R) and [coding2](https://github.com/RosanaFSS/Timeline/blob/R-coding/More%20about%20data%20Visualization%20with%20ggplot.R)
* View Subsets using _facet_wrap()_ and _facet_grid()_ functions [subsets viz](https://github.com/RosanaFSS/Timeline/blob/R-coding/Data%20Viz%2C%20subsets%20with%20facet_wrap%20%26%20facet_grid.R)
* Enhance your Data Viz using Labels and annotations: _labs()_ & _annotate()_ functions [labels & annotations](https://github.com/RosanaFSS/Timeline/blob/R-coding/Data%20Viz%2C%20Labels%20%26%20Annotations.R)
* Saving your visualization in RStudio. There are six options of formats: PNG, JPEG, TIFF, BMP, SVG and EPG
You can save your viz using _Export_ opion in the _plots tab_ or using _ggsave()_ function [saving plots]( https://github.com/RosanaFSS/Timeline/blob/R-coding/Plot%2C%20Palmer%20Penguins%2C%20Body%20Mass%20vs%20Flipper%20Length.png)
* R Markdown [Reference Guide](https://www.rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf)
* Adding code chunks to R Markdown notebook [coding](https://github.com/RosanaFSS/Timeline/blob/R-coding/R-Markdown-Intro.html)
***
R Introduction with _MQuinho, UFMG_
* Oct 2019 [Certificate](https://github.com/RosanaFSS/Timeline/blob/R-coding/04%20%20MQuinho%2C%20Introdu%C3%A7%C3%A3o%20R%2C%20out%202019.pdf) 12h
***
KPI Monitoring with R with _NC Data_
* Oct 2019 [Certificate](https://github.com/RosanaFSS/Timeline/blob/R-coding/05%20%20NC%20Data%2C%20Monitoramento%20de%20Indicadores%20com%20R%2C%20out%202019.pdf) 12h
***
Basics, Intermediate and Advanced with _R-Ladies_
* Sep 2019 | Advanced | [Certificate]( https://github.com/RosanaFSS/Timeline/blob/R-coding/03%20%20R%20Avan%C3%A7ado%2C%20set%202019.pdf) 6h &
| Intermediate | [Certificate]( https://github.com/RosanaFSS/Timeline/blob/R-coding/02%20%20R%20Intermedi%C3%A1rio%2C%20set%202019.pdf) 6h
* Aug 2019 | Basics | [Certificate]( https://github.com/RosanaFSS/Timeline/blob/R-coding/01%20%20R%20B%C3%A1sico.%20ago%202019.pdf) 6h
***