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Description
BISTURI QUIRURGICO. MANGO LARGO NO. 7.
IMSS product code
535.137.0472.01
Each circle represents one of the 9 purchases of BISTURÍ made by the IMSS between 2010 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 4 | 2,105.4 MXN | 270.4 MXN | 17.8 % | 5.03 | 25 de julio de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 1,948.8 MXN | 268.8 MXN | 16 % | 2.4 | 24 de marzo de 2014 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,009.2 MXN | 159.2 MXN | 18.7 % | 2.81 | 9 de noviembre de 2012 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 527 MXN | 72.7 MXN | 16 % | 0.8 | 5 de octubre de 2010 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 1,044 MXN | 144 MXN | 16 % | 0.8 | 7 de diciembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO CORPORATIVO MEDICO DIVISION CENTRO S.A. DE C | 3 | 184.8 MXN | 19.5 % | 3.52 | 2011 - 2011 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 428 MXN | 16.9 % | 5.21 | 2012 - 2014 |
| MARBELLA ZETINA LAGUNES | 1 | 144 MXN | 16 % | 0.8 | 2016 - 2016 |
| STATION BUSINESS GROUP AND SERVICES, S.A. DE C.V. | 1 | 85.6 MXN | 12.6 % | 1.51 | 2012 - 2012 |
| SUPERVISION DE NEGOCIOS ESPECIALES COUTI?O, S.A. D | 1 | 72.7 MXN | 16 % | 0.8 | 2010 - 2010 |
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=535.137.0472.01")
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=535.137.0472.01')
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=535.137.0472.01')