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Description
Cincel Lexer de 20 mm. de ancho y 220 mm. de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.2527.00
Presentation
Pieza
Each circle represents one of the 7 purchases of CINCEL made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 1,102.6 MXN | 152.1 MXN | 16 % | 0.16 | 8 de agosto de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 2,923.2 MXN | 403.2 MXN | 16 % | 0.32 | 6 de junio de 2014 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 1,461.6 MXN | 201.6 MXN | 16 % | 0.16 | 13 de julio de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,179.1 MXN | 162.6 MXN | 16 % | 0.16 | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 2,298.2 MXN | 317 MXN | 16 % | 0.48 | 24 de abril de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,320 MXN | 320 MXN | 16 % | 0.32 | 11 de julio de 2017 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 1,461.6 MXN | 201.6 MXN | 16 % | 0.16 | 17 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 1,126.4 MXN | 16 % | 0.96 | 2010 - 2017 |
| DEWIMED, S. A. | 3 | 631.7 MXN | 16 % | 0.8 | 2013 - 2018 |
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=537.191.2527.00")
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=537.191.2527.00')
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=537.191.2527.00')