Read The Dataset
Inspect rows, columns, variable types, and missing values before choosing any analysis.
Open OverviewTeaching
TEACH
STATISTICS
THROUGH
QUESTIONS.
A course-oriented entry point for students who need to understand data, choose a basic analysis, and read results without getting lost in a full statistics package.
The teaching layer keeps Wangscape as the main portal, then routes students into a browser-native Stats Lab for descriptive statistics, group comparison, correlation, regression, and guided interpretation.
Audience
Students starting ecological and environmental data analysis from the ground up.
Structure
Teaching page first, then a dedicated statistics workspace with a smaller learning surface.
Core Tasks
Read data, summarize patterns, compare groups, test association, and fit simple regression.
Output
Numbers, visual summaries, and plain-language interpretation rather than isolated p-values.
Course Map
What students do, in order.
The lab is framed as a sequence of scientific questions instead of a menu of software features. Students move from data literacy to inference with one step at a time.
Descriptive Statistics
Summarize central tendency, spread, and data range for one numeric variable at a time.
Summarize A VariableGroup Comparison
Ask whether two groups show different average responses with a guided Welch t-test workflow.
Compare Two GroupsCorrelation Analysis
Check whether two numeric variables move together and whether the relationship is weak or strong.
Explore AssociationSimple Regression
Fit a one-predictor model and interpret slope, explained variance, and linear trend direction.
Fit A ModelRead The Result
Translate output back into the scientific question, with explicit cautions about over-interpretation.
See Interpretation ExamplesData Entry
Start with sample datasets, then move to class data.
The first version includes ready-to-use ecological teaching datasets and a direct path for pasting or uploading a classroom CSV or TSV file into the lab.
Sample 01
Forest-Edge Restoration Case.
A 146-row ecology teaching case linking habitat position, canopy cover, understory temperature, soil moisture, seedling height, and species richness across an edge-to-interior gradient.
Sample 02
Daily Weather Observation Case.
A 365-day environmental dataset with temperature, humidity, wind, pressure, rainfall, and sunshine for descriptive statistics, seasonal comparison, correlation, and simple modeling.
Bring Your Own Data
Paste Or Upload A Classroom Table.
Students can paste a spreadsheet excerpt directly into the browser or load a local CSV or TSV file without leaving the site.
Teaching Flow
Explain First, Analyze Second.
Use this page to frame the scientific question, then send students into the lab only after they know what kind of answer they are trying to obtain.
Data Note
These downloads are classroom case datasets, not a bundled archive of untouched source records.
The current public CSVs are designed for teaching. Most are curated or simulated case datasets, and several intentionally retain missing values, duplicate rows, or obvious outliers so students can practice cleaning decisions inside Stats Lab.
At the moment this repository does not include a separate package of full raw/original observation files.
The cleanest reference file in the current bundle is iris_case.csv; the ecology, penguin,
student-score, and weather cases are teaching-oriented datasets rather than archived field or lab originals.
Interpretation Layer
The important part is not the calculation. It is the explanation.
The lab is built to show students what each analysis means, what it can support, and what it cannot support.
Group Comparison
This analysis is suitable for asking whether two groups differ in their average response.
The interpretation layer reports which group is higher or lower, how large the difference is, and whether the observed contrast is strong enough to treat as evidence rather than noise.
Correlation
A correlation shows co-movement, not causality.
Students see a direct reminder that two variables can move together without one proving the cause of the other, which is especially important for observational ecological data.
Regression
A simple slope answers how much the outcome changes per unit increase in the predictor.
The explanation translates the fitted line back into plain language so students can connect slope, direction, and explained variance with their scientific question.
Scientific Reasoning
The result is always tied back to whether it supports the current ecological question.
Instead of ending on a p-value, the page emphasizes what the output does or does not say about habitat difference, environmental association, or predictive trend.
Launch Path
Keep Wangscape as the teaching entry, and deploy the lab as its own static subsite.
The lab is now organized as a standalone static package under /stats/. That directory can be
deployed directly as the root of stats.wangscape.com, and the main Wangscape teaching page now
points students straight to that dedicated subdomain.