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Read-only sample study. A complete walkthrough — from problem statement to a validated report — using wine.csv (178 rows × 13 cols). Sign in to run your own.
Sample study · correlational design

Wine Chemical Profile

Research information
Statement of the problem

This study explores the chemical composition of wines and the latent structure underlying the measured constituents.

Objectives
  • To describe the alcohol, total_phenols, flavanoids, and color_intensity of the wines.
  • To determine the relationship between total_phenols and flavanoids.
  • To uncover the underlying factor structure among total_phenols, flavanoids, nonflavanoid_phenols, proanthocyanins, and hue.
Dataset
wine.csv178 rows × 13 cols
ColumnKindMissingDistinct
alcoholnumeric0126
malic_acidnumeric0133
ashnumeric079
alcalinity_of_ashnumeric063
magnesiumnumeric053
total_phenolsnumeric097
flavanoidsnumeric0132
nonflavanoid_phenolsnumeric039
proanthocyaninsnumeric0101
color_intensitynumeric0132
huenumeric078
od280/od315_of_diluted_winesnumeric0122
prolinenumeric0121
Feasibility & estimateFree
✓ Feasibledesign: correlational · via heuristic

Detected a correlational design with 13 analyzable variable(s) and 3 analytical question(s). Recommended 3 statistical test(s). Estimated cost: 48 credits.

Recommended analysis
To describe the alcohol, total_phenols, flavanoids, and color_intensity of the wines.
Descriptive Statistics(alcohol, total_phenols, flavanoids, color_intensity)
To determine the relationship between total_phenols and flavanoids.
Pearson Correlation(total_phenols, flavanoids)
To uncover the underlying factor structure among total_phenols, flavanoids, nonflavanoid_phenols, proanthocyanins, and hue.
Exploratory Factor Analysis(total_phenols, flavanoids, nonflavanoid_phenols, proanthocyanins, hue)
Dataset Complexity18
Statistical Tests10
AI Interpretation9
Visualizations6
Report Generation5
Total to run48 credits
Estimated runtime: ~45-90 seconds
ResultsComputed
3 tests48 credits
Descriptive Statistics (alcohol, total_phenols, flavanoids, color_intensity)
nmaxminstdmeanmoderangemedianvariablevariance
17814.83011.0300.81213.00112.3703.80013.050alcohol0.659
1783.8800.9800.6262.2952.2002.9002.355total_phenols0.392
1785.0800.3400.9992.0292.6504.7402.135flavanoids0.998
178131.2802.3185.0582.60011.7204.690color_intensity5.374
Spearman Rank Correlation (total_phenols, flavanoids)
significant
r.879.773N178p< .001
Spearman r0.879
large

The result is statistically significant (p = 0.0000 < 0.05).

Spearman Rank Correlation was used instead of the Pearson Correlation because the latter's assumption(s) were not met (Normality of total_phenols (Shapiro-Wilk), Normality of flavanoids (Shapiro-Wilk)).
Exploratory Factor Analysis (total_phenols, flavanoids, nonflavanoid_phenols, proanthocyanins, hue)
KMO.764N178
itemfactor 1
total_phenols-0.873
flavanoids-1.000
nonflavanoid_phenols0.531
proanthocyanins-0.665
hue-0.506

Extracted 1 factor(s) (Kaiser criterion); 54.9% variance explained.

Report

Publication-ready report

Tests used · Results · Discussion — generated from the computed statistics.

Numeric-claim check passed · 8 numbers verified · prose: deterministic

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