Who are you?
I’m an ordinary person who is down-to-earth. If you’d like to learn more about me, feel free to visit my About page.
Why did you start Data Lab Zone ?
The reason why i want to start Data Lab Zone is to motivate myself to continuously learn new knowledge, as well as to showcasing my achievements for those interested in R language and data science to read, offer feedback and engage in mutual exchange.
Can I use the content on your website for my own purposes?
Feel free to utilize the content on my website for your own use, but please adhere to the following guidelines:
Commercial use of my content is prohibited.
Proper credit must be given in your works.
I am not liable for any issues related to the code or results in the content.
If you incorporate my code or material into your project, kindly reference the following details:
Author’s name: “NING LI”
Title of the article or tutorial
Website name: “Data Lab Zone”
URL of the article or tutorial
Date of access or code reproduction
For example:
NING LI, R Basic, Data Lab Zone. Retrieved from:
https://datalabzone.com/series/R/2022/ 11/27/rbasic.html, accessed on March 6th, 2023.
How can I reach out to you when I encounter problems?
Thank you for considering reaching out to me. To ensure prompt response, please use the following methods for best communication:
Post questions as comments on the relevant article to benefit other readers and avoid duplication.
Email inquiries will not be addressed, but redirected to the comments section.
Report mistakes, bugs, or inaccuracies by creating an issue on GitHub. For those familiar with GitHub, feel free to edit the file and submit a pull request for speedy incorporation of your changes.
Before contacting me, please check the comments section for a possible answer to your question. Thank you!
Do you accept guest posts or contributions?
Of course. I warmly welcome you to publish posts and make valuable contributions on my website.
If you are interested in publishing a post on my website, please contact me through Twitter or github. Once your submission has been reviewed and approved, I will publish it on my website, and the copyright will belong to you. Additionally, if you have any suggestions or feedback regarding my content, please contact me through the contact form. I will respond to your message promptly.
How can I support your website or contribute to your work?
If you find my content helpful, please consider supporting me by buying me a coffee.
Or, You are also welcome to buy me by Wechat and Alipay:
Are there any other software or resources you recommend for data science?
As a science researcher, I deal with various scientific tools every day. Here, I have listed some of the software I use. If anyone knows better software, please leave a comment in the section below.
Statistical software
Statistical software is the most commonly used, and I mainly focus on R language, for no other reason than it being free and powerful!!!
Reference management software
Good reference management software will greatly improve your efficiency in selecting and citing literature.