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Description
Compra Emergente
IMSS product code
060.167.0680.01
Each circle represents one of the 7 purchases of CÁNULAS OROFARÍNGEAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 277 MXN | 96.2 MXN | 62.9 % | 6.22 | 2 de julio de 2012 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 804.8 MXN | 21.7 MXN | 2.78 % | 1.39 | 6 de diciembre de 2012 |
| Delegación Coahuila | Coahuila | 1 | 20.5 MXN | 9.34 MXN | 84 % | 0.974 | 7 de septiembre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,322.4 MXN | 172 MXN | 15 % | 17.9 | 11 de noviembre de 2010 |
| Delegación Sinaloa | Sinaloa | 1 | 13.9 MXN | 2.73 MXN | 24.5 % | 0.285 | 6 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 17.7 MXN | 17 % | 1.19 | 2011 - 2011 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | 2.73 MXN | 24.5 % | 0.285 | 2010 - 2010 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 3.68 MXN | 12.4 % | 0.247 | 2011 - 2011 |
| GRUPO LAMPORT, S. DE R.L. DE C.V. | 1 | 172 MXN | 15 % | 17.9 | 2010 - 2010 |
| PROVEEDORA HOSPITALARIA DE AGUA PRIETA S.A DE C.V | 1 | 74.8 MXN | 159.3 % | 4.78 | 2012 - 2012 |
| RCA MEDICAL S.A. DE C.V.. | 1 | 9.34 MXN | 84 % | 0.974 | 2010 - 2010 |
| SERVICIOS E INSUMOS INSTITUCIONALES DEL NOROESTE D | 1 | 21.7 MXN | 2.78 % | 1.39 | 2012 - 2012 |
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=060.167.0680.01")
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=060.167.0680.01')
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=060.167.0680.01')