A Winnipegger doing casual data analysis
I'm a beginner data scientist, i am using this repository to practice and get tips for coding. All i know is that i love data analysis and i just want to increase my skills in R, Statistics, Coding, and yes utilizing GitHub -- so I am using this opportunity to make a public repository, ask interesting questions on open datasets.
For now im sticking with Canadian open data sources: https://data.winnipeg.ca/
UPDATE 01-07-2020:
- Happy New Years all! Some news, my first dataset I played around with was the Winnipeg Transit Pass-up data, which serendipitously ended up me giving a brief presentation to Winnipeg Transit on Dec 17th 2019! It was a fun experience and I got to learn more about Winnipeg Transit. I will close out on that project (for the time being) and work on another insightful project!
UPDATE 10-23-2019:
- Learned a new very empowering way of requesting for help! reprex() and datapasta! check out my new markdown (still meticulously working on it...)
UPDATE 09-26-2019:
- Hey all! School has started and I wanted to give an update, I slowed down with my Winnipeg Transit Analysis (although I do really miss it, I want to extract as much insight as possible!), however I will be picking up on doing textual analysis since this is what i am planning to do for my thesis. I am currently in the works for learning pdftools package with R then will be using tidytext by Julia Silge. I want to create some practice analysis on it because i have specific measures to conduct. I apologize for the inactivity, but i assure you work is being done behind the scenes! Stay tuned!
UPDATE 08-09-2019:
- Quick update, I unfortunately have not been coding recently, and miss it terribly (I love the practice with R)! Recently however, I have been immersed in a bunch of Data Science books that I bought, especially text mining and overall data science processes, knowledge, and statistics. Thanks to my internship I was able to buy a total of 10-12 books! So far ive read 1 completely (Text mining with R by Julia Silge), and im working on 2 other books (R for Data Sciences, and Practical Text Mining with R). So please know that while I have not been coding I have been actively checking my Github along with studying more data sciences!
UPDATE 07-27-2019:
- Late night update, so my harddrive on my laptop fried, and i ended up replacing it by buying a new m.2 drive from the nice folk over at Memory express, now in the middle of installing things. I decided to move everything to Canadian Cloud Storage https://www.sync.com/ -- here is my referral link (http://www.sync.com/get-started?_sync_refer=a1b318d50), it is not necessary, but if you use it, it will grant both you and me an extra GB of space. With that being said I am much more careful these days of where to store my data, im very glad a Canadian Cloud Storage option is available, i am eventually going to move out of Google Cloud and Microsoft One Drive.
UPDATE 07-22-2019:
- General thoughts, so now im getting used to coding in the tidyverse, and applying these to github which is super cool in my opinion. I am currently studying text mining and NLP for my thesis, my goal is to try to apply it here. Overall however, i do not believe i have unleashed the full potential of Github, i wish to tap into some resources that can teach me the full capability of github. However, overall I really love R as a programming language, its very comfortable, and truly a full data scientist kit!
UPDATE 07-07-2019:
- Ive been getting into my dataset now, a couple questions were raised about the data, such as "Can i use R to connect to relational databases?" or even "how do i use APIs with R?" ---- as i dive deeper into the rabbit hole....
UPDATE 07-02-2019:
- Okay it seems to work!! super proud! 1 step closer to a data scientist! :)
UPDATE 06-29-2019:
- opened up my own repository
- i believe i connected R with Github... now i have to test it somehow which i wish i knew how! -- ill eventually figure it out.