A dataset containing observations of customers of the industrial distribution company HBAT. The variables can be classified into three groups: the first 6 (categorical) are shopper characteristics (data warehouse classification), variables 7 to 19 (numerical) measure shopper perceptions of HBAT and the last 5 are possible target variables (responses), the purchase outcomes.
hbatA data frame with 200 rows and 24 columns:
Customer ID.
Customer Type. Length of time a particular customer has been
buying from HBAT: Menos de 1 año = less than 1 year. De 1 a 5 años = between 1 and 5 years.
Más de 5 años = longer than 5 years.
Type of industry that purchases HBAT’s paper products:
Revista = magazine industry, Periodico = newsprint industry.
Employee size:
Pequeña (<500) = small firm, fewer than 500 employees,
Grande (>=500) = large firm, 500 or more employees.
Customer location:
America del norte = USA/North America, Otros = outside North America.
Distribution System. How paper products are sold to customers:
Indirecta = sold indirectly through a broker, Directa = sold directly.
Product Quality. Perceived level of quality of HBAT’s paper products.
E-Commerce Activities/Web Site. Overall image of HBAT’s Web site, especially user-friendliness.
Technical Support. Extent to which technical support is offered to help solve product/service issues.
Complaint Resolution. Extent to which any complaints are resolved in a timely and complete manner.
Advertising. Perceptions of HBAT’s advertising campaigns in all types of media.
Product Line. Depth and breadth of HBAT’s product line to meet customer needs.
Salesforce Image. Overall image of HBAT’s salesforce.
Competitive Pricing. Extent to which HBAT offers competitive prices.
Warranty and Claims. Extent to which HBAT stands behind its product/service warranties and claims.
New Products. Extent to which HBAT develops and sells new products.
Ordering and Billing. Perception that ordering and billing is handled efficiently and correctly.
Price Flexibility. Perceived willingness of HBAT sales reps to negotiate price on purchases of paper products.
Delivery Speed. Amount of time it takes to deliver the paper products once an order has been confirmed.
Customer satisfaction with past purchases from HBAT, measured on a 10-point graphic rating scale.
Likelihood of recommending HBAT to other firms as a supplier of paper products, measured on a 10-point graphic rating scale.
Likelihood of purchasing paper products from HBAT in the future, measured on a 10-point graphic rating scale.
Percentage of Purchases from HBAT. Percentage of the responding firm’s paper needs purchased from HBAT, measured on a 100-point percentage scale.
Perception of Future Relationship with HBAT. Extent to which
the customer/respondent perceives his or her firm would engage in strategic
alliance/partnership with HBAT:
No = Would not consider. Si = Yes, would consider strategic alliance or partnership.
Hair et al. (1998).
For more details, consult the reference Hair et al. (1998).
Hair, J. F., Anderson, R. E., Tatham, R. L., y Black, W. (1998). Multivariate Data Analysis. Prentice Hall.
str(hbat)
#> 'data.frame': 200 obs. of 24 variables:
#> $ empresa : num 1 2 3 4 5 6 7 8 9 10 ...
#> $ tcliente: Factor w/ 3 levels "Menos de 1 año",..: 2 3 3 1 2 1 1 2 2 1 ...
#> $ tindustr: Factor w/ 2 levels "Revista","Periodico": 1 2 1 2 1 2 2 1 2 1 ...
#> $ tamaño : Factor w/ 2 levels "Pequeña (<500)",..: 2 1 2 2 2 1 2 2 2 2 ...
#> $ region : Factor w/ 2 levels "America del norte",..: 2 1 2 2 1 2 2 2 2 2 ...
#> $ distrib : Factor w/ 2 levels "Indirecta","Directa": 2 1 2 1 2 1 1 1 1 1 ...
#> $ calidadp: num 8.5 8.2 9.2 6.4 9 6.5 6.9 6.2 5.8 6.4 ...
#> $ web : num 3.9 2.7 3.4 3.3 3.4 2.8 3.7 3.3 3.6 4.5 ...
#> $ soporte : num 2.5 5.1 5.6 7 5.2 3.1 5 3.9 5.1 5.1 ...
#> $ quejas : num 5.9 7.2 5.6 3.7 4.6 4.1 2.6 4.8 6.7 6.1 ...
#> $ publi : num 4.8 3.4 5.4 4.7 2.2 4 2.1 4.6 3.7 4.7 ...
#> $ producto: num 4.9 7.9 7.4 4.7 6 4.3 2.3 3.6 5.9 5.7 ...
#> $ imgfvent: num 6 3.1 5.8 4.5 4.5 3.7 5.4 5.1 5.8 5.7 ...
#> $ precio : num 6.8 5.3 4.5 8.8 6.8 8.5 8.9 6.9 9.3 8.4 ...
#> $ garantia: num 4.7 5.5 6.2 7 6.1 5.1 4.8 5.4 5.9 5.4 ...
#> $ nprod : num 4.3 4 4.6 3.6 4.5 9.5 2.5 4.8 4.4 5.3 ...
#> $ facturac: num 5 3.9 5.4 4.3 4.5 3.6 2.1 4.3 4.4 4.1 ...
#> $ flexprec: num 5.1 4.3 4 4.1 3.5 4.7 4.2 6.3 6.1 5.8 ...
#> $ velocida: num 3.7 4.9 4.5 3 3.5 3.3 2 3.7 4.6 4.4 ...
#> $ satisfac: num 8.2 5.7 8.9 4.8 7.1 4.7 5.7 6.3 7 5.5 ...
#> $ precomen: num 8 6.5 8.4 6 6.6 6.3 7.8 5.8 7.5 5.9 ...
#> $ pcompra : num 8.4 7.5 9 7.2 9 6.1 7.2 7.7 8.2 6.7 ...
#> $ fidelida: num 65 67 72 40 57 50 41 56 56 59 ...
#> $ alianza : Factor w/ 2 levels "No","Si": 2 1 2 1 1 1 1 1 2 1 ...
#> - attr(*, "variable.labels")= Named chr [1:24] "Empresa" "Tipo de cliente" "Tipo Industria" "Tamaño de la empresa" ...
#> ..- attr(*, "names")= chr [1:24] "empresa" "tcliente" "tindustr" "tamaño" ...
#> - attr(*, "codepage")= int 1252
as.data.frame(attr(hbat, "variable.labels"))
#> attr(hbat, "variable.labels")
#> empresa Empresa
#> tcliente Tipo de cliente
#> tindustr Tipo Industria
#> tamaño Tamaño de la empresa
#> region Región
#> distrib Sistema de distribución
#> calidadp Calidad de producto
#> web Actividades comercio electrónico
#> soporte Soporte técnico
#> quejas Resolución de quejas
#> publi Publicidad
#> producto Línea de productos
#> imgfvent Imagen de fuerza de ventas
#> precio Nivel de precios
#> garantia Garantía y reclamaciones
#> nprod Nuevos productos
#> facturac Encargo y facturación
#> flexprec Flexibilidad de precios
#> velocida Velocidad de entrega
#> satisfac Nivel de satisfacción
#> precomen Propensión a recomendar
#> pcompra Propensión a comprar
#> fidelida Porcentaje de compra a HBAT
#> alianza Consideraría alianza estratégica
summary(hbat)
#> empresa tcliente tindustr tamaño
#> Min. : 1.00 Menos de 1 año:68 Revista :100 Pequeña (<500): 98
#> 1st Qu.: 50.75 De 1 a 5 años :64 Periodico:100 Grande (>=500):102
#> Median :100.50 Más de 5 años :68
#> Mean :100.50
#> 3rd Qu.:150.25
#> Max. :200.00
#> region distrib calidadp web
#> America del norte: 81 Indirecta:108 Min. : 5.000 Min. :2.200
#> Otros :119 Directa : 92 1st Qu.: 6.700 1st Qu.:3.300
#> Median : 8.050 Median :3.700
#> Mean : 7.894 Mean :3.765
#> 3rd Qu.: 9.100 3rd Qu.:4.100
#> Max. :10.000 Max. :5.700
#> soporte quejas publi producto
#> Min. :0.400 Min. :1.500 Min. :1.500 Min. :2.300
#> 1st Qu.:4.100 1st Qu.:4.500 1st Qu.:3.200 1st Qu.:4.800
#> Median :5.300 Median :5.400 Median :4.000 Median :5.700
#> Mean :5.243 Mean :5.367 Mean :4.061 Mean :5.815
#> 3rd Qu.:6.425 3rd Qu.:6.200 3rd Qu.:4.925 3rd Qu.:6.900
#> Max. :8.900 Max. :8.700 Max. :6.900 Max. :8.400
#> imgfvent precio garantia nprod
#> Min. :2.500 Min. : 3.700 Min. :3.700 Min. :1.200
#> 1st Qu.:4.575 1st Qu.: 5.800 1st Qu.:5.400 1st Qu.:4.200
#> Median :5.000 Median : 7.150 Median :6.100 Median :5.200
#> Mean :5.248 Mean : 6.971 Mean :6.048 Mean :5.210
#> 3rd Qu.:6.000 3rd Qu.: 8.325 3rd Qu.:6.600 3rd Qu.:6.225
#> Max. :8.200 Max. :10.000 Max. :8.400 Max. :9.500
#> facturac flexprec velocida satisfac
#> Min. :1.200 Min. :2.300 Min. :1.600 Min. :4.700
#> 1st Qu.:3.700 1st Qu.:3.575 1st Qu.:3.300 1st Qu.:6.000
#> Median :4.300 Median :4.250 Median :3.900 Median :7.050
#> Mean :4.242 Mean :4.464 Mean :3.816 Mean :6.952
#> 3rd Qu.:4.700 3rd Qu.:5.325 3rd Qu.:4.325 3rd Qu.:7.900
#> Max. :6.700 Max. :7.500 Max. :5.500 Max. :9.900
#> precomen pcompra fidelida alianza
#> Min. :4.000 Min. :4.300 Min. :37.00 No:114
#> 1st Qu.:6.100 1st Qu.:7.100 1st Qu.:51.00 Si: 86
#> Median :7.000 Median :7.600 Median :58.50
#> Mean :6.952 Mean :7.665 Mean :58.10
#> 3rd Qu.:7.650 3rd Qu.:8.200 3rd Qu.:65.25
#> Max. :9.900 Max. :9.900 Max. :77.00