yaEDA Dashboard

Dataset: Cohort_A • Target: None (Unsupervised / Test Exploration)

Engine: None Attribution: None
Cohort_A Dimensions
668,665 × 14
Secondary Datasets
1
Collinear Warnings
0
Detailed Feature Statistics & Health Profiling
FeatureDtypeMissingZerosDistinct MinQ25MedianMeanQ75Max IQROutliersSkewnessKurtosis
id int64 0.0% 0.0% 668665 0.0 167166.0 334332.0 334332.0 501498.0 668664.0 334332.00 0 (0.0%) +0.00 -1.20
Age int64 0.0% 0.0% 45 25.0 36.0 47.0 47.0392 58.0 69.0 22.00 0 (0.0%) -0.00 -1.17
Annual_Income_USD float64 0.0% 0.0% 13214 30000.0 67376.0 84880.0 84769.267 102753.0 188549.0 35377.00 3678 (0.6%) -0.01 -0.15
Daily_Commute_km float64 0.0% 0.0% 805 5.0 17.2 33.6 32.1583 47.4 98.7 30.20 41 (0.0%) -0.08 -1.06
Number_of_Cars_Owned int64 0.0% 0.0% 4 1.0 1.0 2.0 1.7126 2.0 4.0 1.00 13489 (2.0%) +0.81 +0.36
Charging_Stations_Near_Home int64 0.0% 10.4% 15 0.0 2.0 4.0 4.9604 7.0 14.0 5.00 0 (0.0%) +0.70 -0.48
Charging_Stations_Near_Work int64 0.0% 3.8% 20 0.0 3.0 6.0 7.1763 10.0 19.0 7.00 0 (0.0%) +0.70 -0.49
Environmental_Concern_Level float64 0.0% 0.0% 5 1.0 2.0 3.0 2.9355 4.0 5.0 2.00 0 (0.0%) +0.05 -1.33
Gender str 0.0% 0.0% 3 - - - - - - - - - -
City_Type str 0.0% 0.0% 3 - - - - - - - - - -
Current_Car_Type str 0.0% 0.0% 4 - - - - - - - - - -
Home_Charging_Possible str 0.0% 0.0% 2 - - - - - - - - - -
Subsidy_Available str 0.0% 0.0% 2 - - - - - - - - - -
Range_Anxiety_Level str 0.0% 0.0% 3 - - - - - - - - - -
Feature distribution and empirical target association cards
id
int64 Selected Feature
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count668,665 (100.0%)
Zeros1 (0.0%)
Mean ± Std334332.0 ± 193027.1032
Median (IQR)334332.0 (334332.0)
Min – Max[0.0, 668664.0]
Outliers0 (0.0%)
Skewness0.0
Cohort_B Missing0.0% (+0.0%)
Distribution for id
Age
int64 Selected Feature
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count45 (0.0%)
Zeros0 (0.0%)
Mean ± Std47.0392 ± 12.8754
Median (IQR)47.0 (22.0)
Min – Max[25.0, 69.0]
Outliers0 (0.0%)
Skewness-0.0038
Cohort_B Missing0.0% (+0.0%)
Distribution for Age
Annual_Income_USD
float64 Selected Feature
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count13,214 (2.0%)
Zeros0 (0.0%)
Mean ± Std84769.267 ± 28648.029
Median (IQR)84880.0 (35377.0)
Min – Max[30000.0, 188549.0]
Outliers3678 (0.6%)
Skewness-0.0131
Cohort_B Missing0.0% (+0.0%)
Distribution for Annual_Income_USD
Daily_Commute_km
float64 Selected Feature
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count805 (0.1%)
Zeros0 (0.0%)
Mean ± Std32.1583 ± 18.7305
Median (IQR)33.6 (30.2)
Min – Max[5.0, 98.7]
Outliers41 (0.0%)
Skewness-0.0846
Cohort_B Missing0.0% (+0.0%)
Distribution for Daily_Commute_km
Number_of_Cars_Owned
int64
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count4 (0.0%)
Zeros0 (0.0%)
Mean ± Std1.7126 ± 0.7293
Median (IQR)2.0 (1.0)
Min – Max[1.0, 4.0]
Outliers13489 (2.0%)
Skewness0.8145
Cohort_B Missing0.0% (+0.0%)
Distribution for Number_of_Cars_Owned
Charging_Stations_Near_Home
int64
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count15 (0.0%)
Zeros69,865 (10.4%)
Mean ± Std4.9604 ± 3.9268
Median (IQR)4.0 (5.0)
Min – Max[0.0, 14.0]
Outliers0 (0.0%)
Skewness0.6987
Cohort_B Missing0.0% (+0.0%)
Distribution for Charging_Stations_Near_Home
Charging_Stations_Near_Work
int64 Selected Feature
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count20 (0.0%)
Zeros25,673 (3.8%)
Mean ± Std7.1763 ± 5.1866
Median (IQR)6.0 (7.0)
Min – Max[0.0, 19.0]
Outliers0 (0.0%)
Skewness0.7002
Cohort_B Missing0.0% (+0.0%)
Distribution for Charging_Stations_Near_Work
Environmental_Concern_Level
float64
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count5 (0.0%)
Zeros0 (0.0%)
Mean ± Std2.9355 ± 1.4291
Median (IQR)3.0 (2.0)
Min – Max[1.0, 5.0]
Outliers0 (0.0%)
Skewness0.0543
Cohort_B Missing0.0% (+0.0%)
Distribution for Environmental_Concern_Level
Gender
str
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count3 (0.0%)
Dominant ModeMale
Top CategoriesMale (55.028%), Female (44.182%), Other (0.79%)
Cohort_B Missing0.0% (+0.0%)
Distribution for Gender
City_Type
str
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count3 (0.0%)
Dominant ModeUrban
Top CategoriesUrban (43.266%), Suburban (38.192%), Rural (18.542%)
Cohort_B Missing0.0% (+0.0%)
Distribution for City_Type
Current_Car_Type
str Selected Feature
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count4 (0.0%)
Dominant ModeSedan
Top CategoriesSedan (45.383%), SUV (36.871%), Hatchback (11.88%)
Cohort_B Missing0.0% (+0.0%)
Distribution for Current_Car_Type
Home_Charging_Possible
str
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count2 (0.0%)
Dominant ModeYes
Top CategoriesYes (69.194%), No (30.806%)
Cohort_B Missing0.0% (+0.0%)
Distribution for Home_Charging_Possible
Subsidy_Available
str
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count2 (0.0%)
Dominant ModeYes
Top CategoriesYes (62.798%), No (37.202%)
Cohort_B Missing0.0% (+0.0%)
Distribution for Subsidy_Available
Range_Anxiety_Level
str
Total Count668,665
Cohort_A Missing0 (0.0%)
Distinct Count3 (0.0%)
Dominant ModeLow
Top CategoriesLow (90.325%), Medium (9.347%), High (0.328%)
Cohort_B Missing0.0% (+0.0%)
Distribution for Range_Anxiety_Level
Comparison: Cohort_A vs. Cohort_B
Cohort_A Shape
668,665 × 14
Cohort_B Shape
286,571 × 14
Max Missing Shift (Δ)
+0.0%
Unseen Category Alerts
0
Dataset Drift Plot
Detailed Feature Comparison & Drift Table
Feature Coverage Type Cohort_A Missing Cohort_B Missing Δ Missing % Mean (Cohort_A / Cohort_B) Distinct (Cohort_A / Cohort_B) Novel Unseen Levels
id Both numeric 0.0% 0.0% +0.0% 334332.00 / 811950.00 (+477618.00) 668665 / 286571 None
Age Both numeric 0.0% 0.0% +0.0% 47.04 / 47.07 (+0.03) 45 / 45 None
Annual_Income_USD Both numeric 0.0% 0.0% +0.0% 84769.27 / 84799.51 (+30.24) 13214 / 10526 None
Daily_Commute_km Both numeric 0.0% 0.0% +0.0% 32.16 / 32.16 (+0.00) 805 / 781 None
Number_of_Cars_Owned Both numeric 0.0% 0.0% +0.0% 1.71 / 1.72 (+0.00) 4 / 4 None
Charging_Stations_Near_Home Both numeric 0.0% 0.0% +0.0% 4.96 / 4.95 (-0.01) 15 / 15 None
Charging_Stations_Near_Work Both numeric 0.0% 0.0% +0.0% 7.18 / 7.16 (-0.02) 20 / 20 None
Environmental_Concern_Level Both numeric 0.0% 0.0% +0.0% 2.94 / 2.93 (-0.00) 5 / 5 None
Gender Both categorical 0.0% 0.0% +0.0% - 3 / 3 None
City_Type Both categorical 0.0% 0.0% +0.0% - 3 / 3 None
Current_Car_Type Both categorical 0.0% 0.0% +0.0% - 4 / 4 None
Home_Charging_Possible Both categorical 0.0% 0.0% +0.0% - 2 / 2 None
Subsidy_Available Both categorical 0.0% 0.0% +0.0% - 2 / 2 None
Range_Anxiety_Level Both categorical 0.0% 0.0% +0.0% - 3 / 3 None
Multicollinear Feature Pairs (|r| ≥ 0.80)
✅ No collinear feature pairs detected above threshold (|r| ≥ 0.80).
Golden Features
Target Associations
Correlation Heatmap
Data Health Distribution
Partition: 2 Clusters
Clusters Count
2
K-Means Partitions
Silhouette Score
0.1450
Separation Quality (-1 to 1)
Target Dependency
N/A (No Target)
Mutual Information I(Cluster; Y)
Inertia
207,452.1
Sum of Squared Distances
Cluster Projections
Cluster IDSample SizeTarget SummaryDefining Attributes (σ from global mean)
Cluster 0 10,777 (35.9%) N/A Charging_Stations_Near_Home (+0.98σ) Charging_Stations_Near_Work (+0.98σ) Daily_Commute_km (+0.10σ) Current_Car_Type (+0.03σ)
Cluster 1 19,223 (64.1%) N/A Charging_Stations_Near_Home (-0.55σ) Charging_Stations_Near_Work (-0.55σ) Daily_Commute_km (-0.06σ) Current_Car_Type (-0.02σ)
Partition: 3 Clusters
Clusters Count
3
K-Means Partitions
Silhouette Score
0.1265
Separation Quality (-1 to 1)
Target Dependency
N/A (No Target)
Mutual Information I(Cluster; Y)
Inertia
187,384.5
Sum of Squared Distances
Cluster Projections
Cluster IDSample SizeTarget SummaryDefining Attributes (σ from global mean)
Cluster 0 11,744 (39.1%) N/A Gender (+0.88σ) Charging_Stations_Near_Work (-0.47σ) Charging_Stations_Near_Home (-0.46σ) Daily_Commute_km (-0.03σ)
Cluster 1 8,427 (28.1%) N/A Charging_Stations_Near_Work (+1.16σ) Charging_Stations_Near_Home (+1.15σ) Daily_Commute_km (+0.11σ) Gender (+0.06σ)
Cluster 2 9,829 (32.8%) N/A Gender (-1.10σ) Charging_Stations_Near_Work (-0.43σ) Charging_Stations_Near_Home (-0.43σ) Daily_Commute_km (-0.05σ)