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Description
VALVULAS PARA DERIVACION DE LIQUIDO CEFALORRAQUIDEO, DE RESORTE, PRESION MUY BAJA DE 15 A 40 MM DE H20, CATETER CEFALICO O VENTRICULAR DE 15 CM MINIMO DE LONGITUD Y CATETER PERITONEAL DE 85 CM MINIMO DE LONGITUD. INCLUYE: ADITAMENTOS
IMSS product code
060.932.2722.12
Each circle represents one of the 8 purchases of VÁLVULAS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 58,263 MXN | 7,743 MXN | 15.7 % | 2.12 | 25 de octubre de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 2 | 34,720.8 MXN | 3,440.8 MXN | 11 % | 0.22 | 3 de agosto de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 74,073 MXN | 10,217 MXN | 16 % | 2.08 | 9 de febrero de 2015 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 124,241.7 MXN | 17,136.8 MXN | 16 % | 4.16 | 14 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEZA MACIAS PERLA ABIGAIL | 2 | 2,640 MXN | 16 % | 0.32 | 2010 - 2010 |
| RIOS MALDONADO MIGUEL | 2 | 3,440.8 MXN | 11 % | 0.22 | 2011 - 2011 |
| DURFA, S. A. DE C. V. | 1 | 5,103 MXN | 15 % | 1.8 | 2009 - 2009 |
| MARA IRASEMA CASTRO ACU?A | 1 | 1,264 MXN | 16 % | 0.16 | 2014 - 2014 |
| MEXHOSA, S. A. DE C. V. | 1 | 17,136.8 MXN | 16 % | 4.16 | 2011 - 2011 |
| PIHCSA PARA HOSPITALES, S. A. DE C. V. | 1 | 8,953 MXN | 16 % | 1.92 | 2015 - 2015 |
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=060.932.2722.12")
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=060.932.2722.12')
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=060.932.2722.12')