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Description
Compra Emergente
IMSS product code
060.167.6463.11
Each circle represents one of the 10 purchases of CÁNULAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 4 | 67,090.9 MXN | 6,929.5 MXN | 23.2 % | 2.79 | 28 de junio de 2012 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 16,560 MXN | 2,160 MXN | 15 % | 1.2 | 23 de enero de 2009 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 35,925 MXN | 3,782.7 MXN | 11.8 % | 2.82 | 17 de febrero de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 64,004.2 MXN | 25,602.3 MXN | 66.7 % | 8 | 18 de mayo de 2012 |
| Delegación Querétaro | Querétaro | 1 | 3,593.7 MXN | 2,040.1 MXN | 131.3 % | 1.52 | 13 de diciembre de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 17,962.5 MXN | 1,891.3 MXN | 11.8 % | 1.41 | 19 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO EMEQUR, S.A. DE C.V. | 3 | 113.7 MXN | 0.509 % | 0.0458 | 2011 - 2012 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | 2,160 MXN | 15 % | 1.2 | 2009 - 2009 |
| ENDOMEDICA,S. A. DE C. V. | 2 | 5,674 MXN | 11.8 % | 4.24 | 2010 - 2010 |
| MEDICA DIAGNOSTICA,S.A. DE C.V. | 2 | 8,855.9 MXN | 111.4 % | 4.27 | 2010 - 2011 |
| COMPANIA INTERAMER. DE COMERCIO, S.A. DE C.V. | 1 | 25,602.3 MXN | 66.7 % | 8 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.6463.11")
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=060.167.6463.11')
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=060.167.6463.11')