songwupei/data-open-lecture

Lecture repository: Introduction to Data Analysis with R and Python

Data-Open-Lecture

Lecture repository: Introduction to Data Analysis with R and Python

Preparation

For Python

1. Clone lecture repository with shell command git clone https://github.com/founderfan/Data-Open-Lecture
2. Download and install Anaconda (Python 3 version)
3. After installation, run command in a new shell: jupyter lab
4. If you run jupyter lab in a linux server through ssh, open a new terminal
   • Connect remote jupyter port wit local port: ssh -L 8000:localhost:(jupyter port, default is 8888) (user)@(server address)
   • after log in, jupyter notebook list, check and copy the token of your jupyter
   • open browser http://localhost:8000/, enter the token
5. Create a new notebook: Left-upper area -> "+" (New launcher) -> Notebook -> Python 3
6. Be ready to type in code!

For R

1. Download and Install R and R-studio
2. Open Rstudio
3. Create a new R script: Left-upper area -> File -> New File -> R script
4. Download the lecture notes "RLecture.html" and dataset "Diamonds.csv" from lecture repository
5. Be ready to type in code!