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Description
Compra Emergente
IMSS product code
060.168.8211.03
Each circle represents one of the 15 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 Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 5 | 661.6 MXN | - MXN | - | - | 5 de abril de 2010 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 4 | 11,151.6 MXN | 3,505.6 MXN | 168.2 % | 7.18 | 20 de marzo de 2012 |
| Delegación Nuevo León | Nuevo León | 3 | 2,923.2 MXN | 1,041.7 MXN | 82.9 % | 2.89 | 9 de enero de 2012 |
| Delegación Guanajuato | Guanajuato | 1 | 696 MXN | 277.2 MXN | 66.2 % | 0.768 | 19 de julio de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 13,920 MXN | 6,699.9 MXN | 92.8 % | 18.6 | 21 de diciembre de 2010 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 1,229.6 MXN | 507.6 MXN | 70.3 % | 1.41 | 7 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 7 | 4,547.3 MXN | 131.6 % | 10.1 | 2009 - 2012 |
| HERNANDEZ LARA NORMA | 3 | - MXN | - | - | 2010 - 2010 |
| CORREA ARTEAGA MARIA | 2 | - MXN | - | - | 2010 - 2010 |
| ABASTECEDOR HOSPITALARIO DEL SURESTE, S.A. DE C.V. | 1 | 507.6 MXN | 70.3 % | 1.41 | 2010 - 2010 |
| GRUPO MORAVI, S.A. DE C.V. | 1 | 6,699.9 MXN | 92.8 % | 18.6 | 2010 - 2010 |
| SOLUCIONES INTRAHOSPITALARIAS DE LEON, S.A. DE C.V | 1 | 277.2 MXN | 66.2 % | 0.768 | 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=060.168.8211.03")
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=060.168.8211.03')
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=060.168.8211.03')