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Description
PINZAS DE DISECCION DEBACKEY, CON PUNTA DE 3.5 MM DE ANCHO, CANAL LONGITUDINAL CON DIENTES FINOS. LONGITUD TOTAL 160 MM.
IMSS product code
537.702.2396.01
Each circle represents one of the 18 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 Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 3 | 11,682 MXN | 3,433.6 MXN | 25.4 % | 2.6 | 31 de enero de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 3 | 10,326.4 MXN | 1,603.8 MXN | 16.2 % | 2.03 | 25 de noviembre de 2015 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 5,326.1 MXN | 384 MXN | 8 % | 0.32 | 28 de julio de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 2,509.1 MXN | 724.1 MXN | 51 % | 1.02 | 6 de abril de 2015 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 10,514.2 MXN | 3,555.7 MXN | 59 % | 4.72 | 11 de mayo de 2015 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 1,392 MXN | 192 MXN | 16 % | 0.16 | 8 de agosto de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 2,071.8 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,297.2 MXN | - MXN | - | - | 17 de agosto de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 4,870 MXN | 2,031.5 MXN | 71.6 % | 2.86 | 30 de octubre de 2015 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 3,188.4 MXN | 982 MXN | 44.5 % | 0.89 | 11 de noviembre de 2014 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 10,221.6 MXN | 5,895.2 MXN | 136.3 % | 5.45 | 19 de julio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 9 | 6,459.6 MXN | 33.4 % | 8.25 | 2011 - 2018 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 2 | 224 MXN | 8 % | 0.8 | 2016 - 2017 |
| DEWIMED, S. A. | 1 | 2,031.5 MXN | 71.6 % | 2.86 | 2015 - 2015 |
| EL CIRUJANO, S.A DE C.V | 1 | - MXN | - | - | 2015 - 2015 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| MILLAN CARBALLO EVANGELINA | 1 | 3,209.6 MXN | 60.1 % | 1.8 | 2009 - 2009 |
| MIRA DE OCCIDENTE S.A DE C.V. | 1 | 982 MXN | 44.5 % | 0.89 | 2014 - 2014 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 5,895.2 MXN | 136.3 % | 5.45 | 2016 - 2016 |
| NEODREN, S. DE R. L. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=537.702.2396.01")
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=537.702.2396.01')
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=537.702.2396.01')