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Description
Cincel Cottle de 6 mm. de ancho de hoja de 180 mm. de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.2279.00
Presentation
Pieza
Each circle represents one of the 18 purchases of CINCEL made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 3 | 4,682.8 MXN | 1,133.8 MXN | 34.2 % | 2.48 | 8 de agosto de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 2,210.4 MXN | 302.4 MXN | 15.7 % | 0.79 | 24 de julio de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 835.2 MXN | 57.6 MXN | 8 % | 0.16 | 2 de febrero de 2011 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 2 | 3,988.5 MXN | 1,260.2 MXN | 41.6 % | 1.66 | 19 de julio de 2016 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 742.4 MXN | - MXN | - | - | 4 de noviembre de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 2,320 MXN | 492 MXN | 26.9 % | 1.08 | 30 de noviembre de 2017 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 434.4 MXN | - MXN | - | - | 6 de agosto de 2015 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 835.2 MXN | 115.2 MXN | 16 % | 0.32 | 13 de julio de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 408.3 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 765.6 MXN | 105.6 MXN | 16 % | 0.48 | 5 de febrero de 2013 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 362.4 MXN | 50 MXN | 16 % | 0.16 | 17 de febrero de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 330.6 MXN | - MXN | - | - | 17 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 11 | 1,144.8 MXN | 12.5 % | 2.99 | 2009 - 2018 |
| DEWIMED, S. A. | 4 | 422.5 MXN | 4.93 % | 0.986 | 2011 - 2017 |
| HEMOST, S. A. DE C. V. | 1 | 50 MXN | 16 % | 0.16 | 2012 - 2012 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 639.4 MXN | 66.9 % | 1.34 | 2015 - 2015 |
| MULTISERVICIOS METZOR, S. DE R.L. DE C.V. | 1 | 1,260.2 MXN | 83.1 % | 1.66 | 2016 - 2016 |
Entity type
Instrumental de cirugia de especialidades
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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=537.191.2279.00")
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=537.191.2279.00')
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=537.191.2279.00')