Data Overview

Authentication Methods Used

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Top Requested Services

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Amount Distribution by Age Group

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Total Amount by Product Season

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Total Amount by Client Region

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Statistical Summary (Transaction Sample)


                  

Raw Data Preview (Transaction Sample)

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PCA Options

Select non-redundant quantitative variables.

Input Data Preview

PCA Results

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Contribution to Axes (Table)

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Contribution to Axis X

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Contribution to Axis Y

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Representation Quality (Cos2)

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Multiple Correspondence Analysis (MCA)

MCA Options

Input Data Preview (MCA)

Actions


Download Results:
Scree Plot (.png) Biplot (.png) Contributions Table (.xlsx) Cos2 Table (.xlsx)

MCA Results

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Contribution to Axes (Table)

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Contribution to Axis X

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Contribution to Axis Y

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Representation Quality (Cos2)

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Hierarchical Agglomerative Clustering (HAC / HCPC)

HCPC Options

Classification based on the results of the previous PCA (principal dimensions).

Actions


Download Results:
Dendrogram (.png) Cluster Factor Map (.png) Cluster Description (.xlsx)

HCPC Results

Regression Modeling

Regression Options




Actions


Download Results:
Model Summary (.txt) Data Used (.xlsx)

Regression Results

Interpretation: Significance of variables (Pr(>|t|)), goodness of fit (R-squared / AIC), etc.
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Standard plots to check linear regression assumptions (linearity, homoscedasticity, normality of residuals, outliers).
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Predicted probabilities vs. reality, or other specific metrics.
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Preview of data after NA handling, used to train the model.
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Analysis of Variance (ANOVA)

ANOVA Options

Note: To run ANOVA, execute the 'Clustering (CAH)' module first.

Save


Download
Export Summary (.txt) Export Boxplot (.png)

ANOVA Results

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Chi-Square Independence Test

Chi² Options

Tests if there is a statistically significant association between two categorical variables.

Actions


Download Results:
Test Summary (.txt) Contingency Table (.xlsx)

Chi-Square Results

Tests the null hypothesis of independence. A low P-value (p.value) (< 0.05) suggests a significant association.
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Cross-tabulation showing observed counts for each combination.
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Expected counts if the variables were independent. Useful for verifying test conditions.
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Visualization of the association.
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Validation of Submitted Analyses

Interface for the Chief Data Scientist (simulated).



Analyses Awaiting Approval ('Pending Approval')

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