Dataset research report
Experiments research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Experiment dataset, build charts and dashboards with AI
Research Context
Experiments: 100 rows by 5 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Total experiment_1 by gender
Top gender values ranked by summed experiment_1.
Open and export this chartexperiment_1 vs experiment_2
experiment_1 vs experiment_2, coloured by gender.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartexperiment_1 by gender
Spread of experiment_1 across gender groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | experiment_1float | experiment_2float | experiment_3float | gendertext | grouptext |
|---|---|---|---|---|---|
| 1 | 96.88 | 93.42 | 73.03 | male | control |
| 2 | 87.3 | 129.6 | 66.06 | female | control |
| 3 | 97.69 | 106.2 | 103.4 | male | treatment |
| 4 | 103 | 93.81 | 57 | female | treatment |
| 5 | 87.11 | 107 | 72.14 | male | control |
| 6 | 106.7 | 94.02 | 76.62 | female | control |
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.