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Description
PINZA DE ANILLO, DIAMETRO 3.5 MM. LONGITUD 140 MM.
IMSS product code
537.704.1255.01
Each circle represents one of the 43 purchases of PINZAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 5 | 47,882.5 MXN | 12,612.9 MXN | 26.2 % | 49 | 3 de octubre de 2016 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 4 | 7,141 MXN | 1,197.6 MXN | 31.9 % | 6.82 | 5 de octubre de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 4 | 14,766.8 MXN | 1,103.9 MXN | 9.23 % | 4.32 | 13 de marzo de 2017 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 7,943.2 MXN | 2,331.5 MXN | 53 % | 10.6 | 20 de agosto de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 3 | 9,915.1 MXN | 3,777 MXN | 129 % | 14.7 | 3 de octubre de 2016 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 2 | 4,928.9 MXN | 1,988.3 MXN | 72.6 % | 8.71 | 3 de marzo de 2015 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 6,276.3 MXN | 251.3 MXN | 7.5 % | 0.75 | 21 de octubre de 2013 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 2,020.7 MXN | - MXN | - | - | 30 de septiembre de 2016 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 13,253 MXN | 3,680.2 MXN | 63.8 % | 16.9 | 6 de junio de 2014 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 18,280.2 MXN | 1,019.2 MXN | 5.7 % | 4.79 | 13 de diciembre de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 453.6 MXN | - MXN | - | - | 6 de junio de 2013 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 15,010.4 MXN | 1,300.4 MXN | 7.46 % | 5.96 | 2 de febrero de 2011 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 348 MXN | - MXN | - | - | 13 de marzo de 2017 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 2,505.6 MXN | - MXN | - | - | 31 de enero de 2017 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 5,104 MXN | - MXN | - | - | 11 de noviembre de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 18,327.8 MXN | 2,885.9 MXN | 18.7 % | 11.2 | 19 de julio de 2016 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,781.8 MXN | - MXN | - | - | 4 de noviembre de 2015 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 348 MXN | 130 MXN | 59.6 % | 0.596 | 26 de diciembre de 2011 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 25,229.4 MXN | 15,626.4 MXN | 162.7 % | 19.5 | 9 de agosto de 2017 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 40,431.9 MXN | 12,141.8 MXN | 42.9 % | 30 | 14 de octubre de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 9,136.2 MXN | - MXN | - | - | 5 de febrero de 2013 |
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 1 | 15,022 MXN | 68.6 MXN | 0.459 % | 0.17 | 3 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 24 | 19,366 MXN | 23.7 % | 79.7 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 5 | 4,699.4 MXN | 27.8 % | 21.7 | 2012 - 2018 |
| HIDRO HOSPITAL, S.A. DE C.V. | 2 | 251.3 MXN | 7.5 % | 0.75 | 2009 - 2010 |
| ADMINISTRADORA MEDICA INTERNACIONAL, S.A. DE C.V. | 1 | 15,626.4 MXN | 162.7 % | 19.5 | 2017 - 2017 |
| BAXA PROVEDURIA Y SERVICIOS, S. DE RL. DE C.V. | 1 | 313.5 MXN | 19.5 % | 1.17 | 2015 - 2015 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 1 | 12,141.8 MXN | 42.9 % | 30 | 2010 - 2010 |
| DACEGA CORPORATION, SA DE CV | 1 | 130 MXN | 59.6 % | 0.596 | 2011 - 2011 |
| DEWIMED, S. A. | 1 | 2,633.2 MXN | 245.5 % | 9.82 | 2015 - 2015 |
| DRENOVAC, S. A. DE C. V. | 1 | - MXN | - | - | 2013 - 2013 |
| FLORES VAZQUEZ RICARDO DAVID | 1 | - MXN | - | - | 2012 - 2012 |
| GENERANDO INNOVACIONES MEDICAS SAEM, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| MOBILIARIO MEDICO Y ADMINISTRATIVO DEL CENTRO, S.A | 1 | - MXN | - | - | 2010 - 2010 |
| PRECISION QUIRURGICA, S.A. DE C.V. | 1 | 2,885.9 MXN | 18.7 % | 11.2 | 2016 - 2016 |
| PROVEEDORA MEDICA HOSPITALARIA, S. A. DE C. V. | 1 | 215.2 MXN | 122.5 % | 1.22 | 2012 - 2012 |
| TOY TAVARES WILLIAMS | 1 | 1,852.3 MXN | 46.4 % | 8.34 | 2013 - 2013 |
Date updated in QQW
3 de octubre de 2022
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.704.1255.01")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.704.1255.01')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.704.1255.01')