This is the list of great websites to find inspirations and learn about data visualization. It will be useful for someone who would like to get new ideas or would like to start in data visualization.
I had a problem updating Anaconda Navigator with its UI and managed to solve by updating using the command line. So I wrote this article so it benefits other people and I can also come back if I face this problem in the future. Note that this blog post will be very very short, but very useful.
When was the last time you update your R and RStudio?
I installed RStudio and R a year ago, and never update it since then. Today I just noticed I cannot install new R packages because of my old R version. So I explore some ways to update R and would like to share with someone who is also looking to update R on RStudio.
Last month I attended the Quantify Datathon 2017 event. We are given AirBnb data from insideairbnb.com, then we have 5 days to explore and comes up with the model and/or visualization. Here is the final product from my team, Team Gravy.
Today I found an online tool that can get the stats of the published articles from Google Analytics. That’s how I got interested in Google Analytics API. As I am studying Data Science at the moment, knowing how to do web analytics would open up a lot of new possibilities.
คำ ๆ หนึ่งที่ผมคิดว่าเป็น Buzzword แห่งปี ที่คนใช้กันเยอะมาก และส่วนใหญ่ขาดความเข้าใจถึงความหมายจริง ๆ ของมัน คือคำว่า “Data Science” ครับ เรามาดูกันว่า Data Science คืออะไร ? แล้วต่างกับอีกคำที่คนใช้บ่อย ๆ ว่า “Machine Learning” ยังไงบ้าง
I recently had to switch to Python 2.7 since it is required for Algorithms and Data Structure unit. My current installation of Anaconda on my laptop is Python 3.5. This is the step by step solution to switch between two versions.
This is great talk about ELK stack (Elastic Search + Logstash + Kibana) by K.Supaket, software engineer at Agoda. He is working on big data log analysis which proved to be a challenging task.
It is easy to load CSV data into Python’s Pandas Data Frame. I always think this is also the case for loading MySQL into Data Frame. However, it turns out to be quite troublesome.