Metadata

Description

Dataset name: STAT 8051 Kaggle Competition Codebook - Group 4

Basic summary statistics and codebook, excluding ID variable, for the training dataset from the 2020 Travelers Modeling Competition - Predicting Claim Cost

Metadata for search engines

Date published: 2020-12-13
Creator:

name	value
1	Linh Nguyen

x
veh_value
exposure
veh_body
veh_age
gender
area
dr_age
claim_ind
claim_count
claim_cost

#Variables

veh_value

Market value of the vehicle in $10,000’s

Distribution

Distribution of values for veh_value

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
veh_value	Market value of the vehicle in $10,000’s	numeric	0	1	0	1.6	26	1.866813	1.283358	<U+2587><U+2581><U+2581><U+2581><U+2581>

exposure

The basic unit of risk underlying an insurance premium

Distribution

Distribution of values for exposure

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
exposure	The basic unit of risk underlying an insurance premium	numeric	0	1	0.0028	0.46	1	0.4778526	0.2846047	<U+2587><U+2587><U+2587><U+2586><U+2586>

veh_body

Type of vehicles

Distribution

Distribution of values for veh_body

0 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
veh_body	Type of vehicles	factor	FALSE	1. BUS, 2. CONVT, 3. COUPE, 4. HBACK, 5. HDTOP, 6. MCARA, 7. MIBUS, 8. PANVN, 9. RDSTR, 10. SEDAN, 11. STNWG, 12. TRUCK, 13. UTE	0	1	13	SED: 7410, HBA: 6347, STN: 5348, UTE: 1529

veh_age

Age of vehicles

Distribution

Distribution of values for veh_age

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
veh_age	Age of vehicles	haven_labelled	0	1	1	3	4	2.676382	1.067311	2	<U+2585><U+2581><U+2586><U+2581><U+2581><U+2587><U+2581><U+2587>

Value labels

Response choices
name	value
Youngest	1
Oldest	4

gender

Gender of driver

Distribution

Distribution of values for gender

0 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
gender	Gender of driver	factor	FALSE	1. F, 2. M	0	1	2	F: 12850, M: 9760

area

Driving area of residence

Distribution

Distribution of values for area

0 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
area	Driving area of residence	factor	FALSE	1. A, 2. B, 3. C, 4. D, 5. E, 6. F	0	1	6	C: 6846, A: 5436, B: 4445, D: 2723

dr_age

Driver’s age category

Distribution

Distribution of values for dr_age

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
dr_age	Driver’s age category	haven_labelled	0	1	1	3	6	3.488147	1.426596	2	<U+2583><U+2586><U+2581><U+2587><U+2587><U+2581><U+2585><U+2583>

Value labels

Response choices
name	value
Young	1
Old	6

claim_ind

Indicator of claim

Distribution

Distribution of values for claim_ind

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
claim_ind	Indicator of claim	haven_labelled	0	1	0	0	1	0.0678461	0.2514872	2	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>

Value labels

Response choices
name	value
No	0
Yes	1

claim_count

The number of claims

Distribution

Distribution of values for claim_count

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
claim_count	The number of claims	numeric	0	1	0	0	3	0.0720035	0.2745954	<U+2587><U+2581><U+2581><U+2581><U+2581>

claim_cost

Claim amount

Distribution

Distribution of values for claim_cost

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
claim_cost	Claim amount	numeric	0	1	0	0	57896	140.0076	1123.338	<U+2587><U+2581><U+2581><U+2581><U+2581>

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "STAT 8051 Kaggle Competition Codebook - Group 4",
  "description": "Basic summary statistics and codebook, excluding ID variable, for the training dataset from the 2020 Travelers Modeling Competition - Predicting Claim Cost\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name        |label                                                  | n_missing|\n|:-----------|:------------------------------------------------------|---------:|\n|veh_value   |Market value of the vehicle in $10,000’s               |         0|\n|exposure    |The basic unit of risk underlying an insurance premium |         0|\n|veh_body    |Type of vehicles                                       |         0|\n|veh_age     |Age of vehicles                                        |         0|\n|gender      |Gender of driver                                       |         0|\n|area        |Driving area of residence                              |         0|\n|dr_age      |Driver’s age category                                  |         0|\n|claim_ind   |Indicator of claim                                     |         0|\n|claim_count |The number of claims                                   |         0|\n|claim_cost  |Claim amount                                           |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "creator": "Linh Nguyen",
  "datePublished": "2020-12-13",
  "keywords": ["veh_value", "exposure", "veh_body", "veh_age", "gender", "area", "dr_age", "claim_ind", "claim_count", "claim_cost"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "veh_value",
      "description": "Market value of the vehicle in $10,000’s",
      "@type": "propertyValue"
    },
    {
      "name": "exposure",
      "description": "The basic unit of risk underlying an insurance premium",
      "@type": "propertyValue"
    },
    {
      "name": "veh_body",
      "description": "Type of vehicles",
      "value": "1. BUS,\n2. CONVT,\n3. COUPE,\n4. HBACK,\n5. HDTOP,\n6. MCARA,\n7. MIBUS,\n8. PANVN,\n9. RDSTR,\n10. SEDAN,\n11. STNWG,\n12. TRUCK,\n13. UTE",
      "@type": "propertyValue"
    },
    {
      "name": "veh_age",
      "description": "Age of vehicles",
      "value": "1. Youngest,\n4. Oldest",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "Gender of driver",
      "value": "1. F,\n2. M",
      "@type": "propertyValue"
    },
    {
      "name": "area",
      "description": "Driving area of residence",
      "value": "1. A,\n2. B,\n3. C,\n4. D,\n5. E,\n6. F",
      "@type": "propertyValue"
    },
    {
      "name": "dr_age",
      "description": "Driver’s age category",
      "value": "1. Young,\n6. Old",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "claim_ind",
      "description": "Indicator of claim",
      "value": "0. No,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "claim_count",
      "description": "The number of claims",
      "@type": "propertyValue"
    },
    {
      "name": "claim_cost",
      "description": "Claim amount",
      "@type": "propertyValue"
    }
  ]
}`

STAT 8051 Project Codebook

Group 4

11/10/2020

Metadata

Description

veh_value

Distribution

Summary statistics

exposure

Distribution

Summary statistics

veh_body

Distribution

Summary statistics

veh_age

Distribution

Summary statistics

Value labels

gender

Distribution

Summary statistics

area

Distribution

Summary statistics

dr_age

Distribution

Summary statistics

Value labels

claim_ind

Distribution

Summary statistics

Value labels

claim_count

Distribution

Summary statistics

claim_cost

Distribution

Summary statistics

Missingness report

Codebook table