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Description
Cincel Hibbs recto ancho de la hoja de 12 a 13 mm longitud 240 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.2493.00
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 | 910.6 MXN | 125.6 MXN | 16 % | 0.16 | 8 de agosto de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 6,374.2 MXN | 879.2 MXN | 16 % | 1.12 | 30 de noviembre de 2017 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 657.7 MXN | 90.7 MXN | 16 % | 0.16 | 13 de julio de 2010 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 650.8 MXN | 101.4 MXN | 18.5 % | 0.185 | 17 de septiembre de 2012 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,299.2 MXN | 179.2 MXN | 16 % | 0.32 | 5 de febrero de 2013 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 603.2 MXN | 53.9 MXN | 9.81 % | 0.0981 | 26 de abril de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 657.7 MXN | 108.4 MXN | 19.7 % | 0.197 | 17 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 1,437 MXN | 15.6 % | 2.06 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 1 | 101.4 MXN | 18.5 % | 0.185 | 2012 - 2012 |
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=537.191.2493.00")
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=537.191.2493.00')
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=537.191.2493.00')