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Description
PINZA ALLIS O THOMS-ALLIS, CON 6 X 7 DIENTES, LONGITUD DE 200 A 205 MM.
IMSS product code
535.701.1302.01
Each circle represents one of the 47 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 San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 6 | 37,096.2 MXN | 2,606.3 MXN | 7.68 % | 14.2 | 11 de julio de 2017 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 5 | 30,357.2 MXN | 8,224.6 MXN | 73.1 % | 33.1 | 20 de agosto de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 5 | 14,823.1 MXN | 535.7 MXN | 13 % | 2.89 | 28 de julio de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 4 | 33,812.8 MXN | 6,184 MXN | 42 % | 28.6 | 30 de noviembre de 2017 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 4 | 28,618.7 MXN | 6,857.7 MXN | 45.4 % | 33.9 | 8 de noviembre de 2017 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 14,212.4 MXN | 3,250.1 MXN | 38.7 % | 14.6 | 31 de julio de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 13,619.3 MXN | 5,658.6 MXN | 61.4 % | 24.4 | 4 de noviembre de 2015 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 27,116.2 MXN | 3,117.1 MXN | 6.8 % | 13.6 | 6 de octubre de 2016 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 2 | 9,697.9 MXN | 44.3 MXN | 2.09 % | 0.209 | 16 de julio de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 7,820.7 MXN | 2,458.6 MXN | 45.9 % | 11 | 16 de mayo de 2016 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 1,755.3 MXN | 1.56 MXN | 0.0888 % | 0.00799 | 25 de marzo de 2014 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 1,479 MXN | - MXN | - | - | 13 de julio de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 32,500.4 MXN | 18,332.7 MXN | 129.4 % | 51.8 | 30 de noviembre de 2010 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 2,125.1 MXN | 566.3 MXN | 36.3 % | 2.91 | 6 de octubre de 2014 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 8,038.8 MXN | 19.1 MXN | 0.239 % | 0.0835 | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 9,515 MXN | - MXN | - | - | 9 de mayo de 2018 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 5,669.7 MXN | - MXN | - | - | 13 de noviembre de 2018 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 4,677.1 MXN | 677.7 MXN | 16.9 % | 4.07 | 6 de abril de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,113.6 MXN | - MXN | - | - | 26 de abril de 2012 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 10,817.1 MXN | - MXN | - | - | 5 de octubre de 2010 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,328.2 MXN | 554.1 MXN | 71.6 % | 3.58 | 24 de marzo de 2013 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 2,088 MXN | 1,591.2 MXN | 320.3 % | 6.41 | 7 de diciembre de 2011 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 11,722.4 MXN | 9,186.2 MXN | 362.2 % | 36.2 | 2 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 19 | 19,093.4 MXN | 37.7 % | 87.6 | 2012 - 2018 |
| HEMOST, S. A. DE C. V. | 5 | 54.6 MXN | 1.13 % | 0.246 | 2010 - 2017 |
| GRUPO CORPORATIVO MEDICO DIVISION CENTRO S.A. DE C | 3 | - MXN | - | - | 2010 - 2011 |
| NEODREN, S. DE R. L. DE C. V. | 3 | 5,691.6 MXN | 40.5 % | 31.2 | 2013 - 2016 |
| ALONSO RUBIN FRANCISCO FERNANDO | 1 | 357.4 MXN | 45.8 % | 1.83 | 2014 - 2014 |
| APLICACIONES MEDICAS Y TECNOLOGICAS, SA DE CV | 1 | 9,186.2 MXN | 362.2 % | 36.2 | 2012 - 2012 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | - MXN | - | - | 2018 - 2018 |
| CASTREJON ALONSO OSCAR | 1 | 18,332.7 MXN | 129.4 % | 51.8 | 2010 - 2010 |
| DIMESUR, S.A. DE C.V. | 1 | 1,591.2 MXN | 320.3 % | 6.41 | 2011 - 2011 |
| DRENOVAC, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| DURFA, S. A. DE C. V. | 1 | 4,814.7 MXN | 150.1 % | 21 | 2016 - 2016 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 1,004.8 MXN | 16.9 % | 4.74 | 2009 - 2009 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 4,818.6 MXN | 80.8 % | 19.4 | 2011 - 2011 |
| INSUMOS MEDICOS GEVA SA DE CV | 1 | - MXN | - | - | 2018 - 2018 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | 44.3 MXN | 4.18 % | 0.209 | 2009 - 2009 |
| PHARMACY, S.A. DE C.V. | 1 | 4,385.2 MXN | 112.6 % | 19.1 | 2016 - 2016 |
| PROVEEDORA DE SUMINISTROS DEL SUR, S.A. DE C.V. | 1 | 489.8 MXN | 6.96 % | 1.95 | 2018 - 2018 |
| PROVEEDORA DE SUMINISTROS Y CONSUMIBLES CVR, S.A D | 1 | 1.56 MXN | 0.0888 % | 0.00799 | 2014 - 2014 |
| PROVEEDORA MEDICAL DYCSA, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| STATION BUSINESS GROUP AND SERVICES, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| SUPERVISION DE NEGOCIOS ESPECIALES COUTI?O, S.A. D | 1 | - MXN | - | - | 2010 - 2010 |
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=535.701.1302.01")
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=535.701.1302.01')
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=535.701.1302.01')