Stories about crops and statistics (plus coding)
How to use Google Colab for Python (power tool to analyze data)? In my previous post, I introduced how to upload data from Google Drive to Google Colab in a Python environment. Google Colab is primarily Python-based, but now we can change the runtime to R and use R code in Google Colab. Today, I … Read more
I have soybean yield data that I want to upload to Github and access from R. First, let’s upload the data to Github. The data should be in .csv format. Click Add file, choose Upload files, and, after uploading, select the Raw button to view the data in .csv format as text. and you can … Read more
Recently, I saw the QS World University Rankings; QS World University Rankings by Subject 2024: Agriculture & Forestry. It shows the global university rankings for Agriculture and Forestry Science. Suddenly, I became interested in marking the U.S. agriculture universities on a map to see where these colleges are located in the U.S. I found that … Read more
Kaggle is a popular online platform for data science and machine learning competitions, datasets, and tutorials. You can find high-quality data on Kaggle to practice data analysis. I have uploaded some of my data on Kaggle to share it with others. Recently, I’ve begun learning machine learning, and one of the most fundamental datasets for … Read more
□ How to use Google Colab for Python (power tool to analyze data)? Last time, I introduced how to mount your Google Drive in Google Colab. This time, I will explain how to set a folder path in Google Colab. First, let’s establish the connection between Google Colab and your Google Drive. The code is … Read more
Google Colaboratory (aka. Colab) is a cloud-based platform that provides a Jupyter notebook environment and therefore users can write and run Python code. You don’t have to install Anaconda to use Jupyter notebook. If you have a google account, simply you can analyze data. Google Colab is a powerful tool for collaborative coding and data … Read more