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Description
TIJERA METZENBAUM O NELSON METZENBAUM, RECTA, CON INSERTOS DE CARBURO DE TUNGSTENO, LONGITUD DE 280 A 290 MM.
IMSS product code
535.859.4751.01
Each circle represents one of the 18 purchases of TIJERA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 42,089.8 MXN | 2,229.6 MXN | 5.59 % | 2.18 | 9 de noviembre de 2012 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 8,845 MXN | 1,159.2 MXN | 15.4 % | 1.06 | 4 de noviembre de 2015 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 51,910 MXN | 6,628.5 MXN | 14.5 % | 5.85 | 6 de octubre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 5,394 MXN | 949.9 MXN | 21.8 % | 0.874 | 6 de junio de 2013 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 31,320 MXN | 6,168 MXN | 24.5 % | 4.9 | 20 de agosto de 2010 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 1,508 MXN | 391.3 MXN | 35 % | 0.35 | 20 de julio de 2016 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 2,784 MXN | 384 MXN | 16 % | 0.32 | 20 de marzo de 2013 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 4,711.9 MXN | 649.9 MXN | 16 % | 0.32 | 17 de agosto de 2018 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 3,691.6 MXN | - MXN | - | - | 13 de julio de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,276 MXN | 159.3 MXN | 14.3 % | 0.143 | 3 de noviembre de 2016 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 3,132 MXN | 857.7 MXN | 37.7 % | 0.754 | 29 de octubre de 2014 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 2,540.4 MXN | 350.4 MXN | 16 % | 0.32 | 6 de julio de 2017 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 12,208.3 MXN | 5,053.9 MXN | 70.6 % | 4.94 | 1 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 11 | 16,543.5 MXN | 15.7 % | 13.9 | 2010 - 2018 |
| NEODREN, S. DE R. L. DE C. V. | 2 | 768 MXN | 16 % | 0.64 | 2013 - 2013 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 5,053.9 MXN | 70.6 % | 4.94 | 2012 - 2012 |
| PROVEEDORA MEDICAL DYCSA, S.A. DE C.V. | 1 | 1,659.1 MXN | 12.5 % | 1.62 | 2012 - 2012 |
| SIMATECH DEL SUR SA DE CV | 1 | 565.9 MXN | 27.7 % | 0.554 | 2012 - 2012 |
| SUMINISTROS MEDICOS AVANZADOS S.A. DE C.V | 1 | 391.3 MXN | 35 % | 0.35 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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Organization responsible for the import
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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=535.859.4751.01")
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=535.859.4751.01')
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=535.859.4751.01')