Live Analytics Lab
Code, statistics, and dashboards in your browser — no install.
Free tools — full code notebooks, point-and-click statistics, and live dashboards. All in your browser, in seconds. Use them to follow along with the worked examples in this book.
Launch a tool
The full RStudio IDE in your browser — script editor, console, plots panel, and the standard tidyverse packages preloaded.
A real Jupyter notebook with NumPy, pandas, scikit-learn, and matplotlib already installed — open and start running cells.
Colab
Google’s free Jupyter notebooks with on-demand GPU and TPU. Write Python, train deep-learning models with TensorFlow or PyTorch — sessions saved straight to your Drive.
Notebooks, 200K+ public datasets, and live ML competitions in one place. Free Python & R environments with GPU access — and the world’s largest data-science community.
Free, open-source statistics with a clean point-and-click interface — t-tests, ANOVA, regression, mixed models, factor analysis. Built on R, no code required. Perfect SPSS replacement for academic research.
Looker Studio
Google’s free dashboard & reporting tool — connect Sheets, BigQuery, Search Console, and 800+ sources to build interactive reports.
How it works
1. Click Launch — A clean R or Python environment opens in a new tab. Loading takes a few seconds — no setup, no sign-up.
2. Write & run code — Real RStudio or Jupyter, full functionality. Standard packages preinstalled — load datasets, run models, plot results.
3. Save before you close — Sessions are temporary. Download your scripts or notebooks locally before closing the tab.
Heads up — sessions are temporary & private. Your work disappears when the tab closes. Always download your .R / .ipynb files locally before you finish.
Try this first
Run either snippet below right here on this page — no install, no setup. Tweak the code, hit Run Code, and see the result update live.
