Live Analytics Lab

Code, statistics & dashboards in your browser — no install.

Six free tools — full code notebooks, point-and-click statistics, and live dashboards. All in your browser, in seconds.

New · built by Yuvijen

Which analysis should I run — and what do I report?

Answer a few questions or paste your data. It tells you which analysis fits your design and why, exactly which statistics reviewers expect, runs EFA, CFA, regression, mediation and more right in your browser, then drafts your APA Methods and Results sections.

EFA → CFA guidance Model fit indices APA write-up Your data never leaves your device

Open the Advisor

The full RStudio IDE in your browser — script editor, console, plots panel, and all the standard tidyverse packages preloaded.

Best for · Statistics · ggplot · dplyr · Regression · ANOVA

Launch RStudio

A real Jupyter notebook environment with NumPy, pandas, scikit-learn, and matplotlib already installed — open and start running cells.

Best for · Pandas · scikit-learn · Plotting · ML · Wrangling

Launch Jupyter

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.

Best for · Free GPU · Deep learning · PyTorch · TensorFlow

Open Colab

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.

Best for · Datasets · Competitions · ML · Community

Open Kaggle

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.

Best for · SPSS users · Thesis stats · ANOVA · Bayesian · No-code

Open jamovi

Looker Studio

Google’s free dashboard & reporting tool — connect Sheets, BigQuery, Search Console, and 800+ sources to build interactive reports.

Best for · Dashboards · Reports · KPIs · Sharing · Free

Open Looker Studio

New to R or Python?

Learn the basics by running the code.

Free lessons from Business Analytics for Decision Making. Every example runs inside the page, and each one has a Try here box to type your own code. Nothing to install and no sign-in — the first lesson you open takes a few seconds to warm up.

R basics

Four lessons from first script to loops — the ground you need before regression or ggplot.

Python essentials

Six lessons from the language itself through the three libraries analytics runs on.

How it works

From click to code in under a minute.

Click Launch

A clean R or Python environment opens in a new tab. Loading takes a few seconds — no setup, no sign-up.

Write & run code

Real RStudio or Jupyter, full functionality. Standard packages preinstalled — load datasets, run models, plot results.

Save before you close

Sessions are temporary. Download your scripts or notebooks locally before closing the tab — see the heads-up below.

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

A taste of what you can do.

Paste either snippet into a fresh session to see the environment in action.

R · RStudio

# A quick look at the iris dataset
summary(iris)
plot(iris$Sepal.Length, iris$Petal.Length,
     col = iris$Species, pch = 19,
     main = "Sepal vs Petal Length")

Python · Jupyter

# Load a sample dataset and plot it
import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset("iris")
sns.scatterplot(data=iris,
                x="sepal_length",
                y="petal_length",
                hue="species")
plt.show()

Browse our free analytics books

Hands-on guides for Business Analytics, R Programming, Power BI, and Decision Science — written to pair with the lab.