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Description
TUBO SISTEMA PARA TOMA Y RE-COLECCION DE SANGRE, DE VIDRIO AL VACIO, (13 X 100 MM)DESECHABLE PARA ADULTO SINANTICOAGULANTE, TAPON ROJOCON SILICON COMO LUBRICANTE, VOLUMEN DE DRENADO 7 ML(+- 0.4 ML) (ETIQUETADOS IN-
IMSS product code
080.909.0236.10
Each circle represents one of the 11 purchases of TUBOS made by the IMSS between 2009 and 2014.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL ALPRO, S.A. DE C.V. | 3 | 1,296 MXN | 15 % | 7.2 | 2009 - 2009 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 149,515.8 MXN | 57.5 % | 923.2 | 2010 - 2011 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 2 | - MXN | - | - | 2010 - 2010 |
| CAGESA ABASTECEDORA DE HOSPITALES, S.A. DE C.V. | 1 | 1,091.4 MXN | 69.2 % | 6.92 | 2010 - 2010 |
| COMERCIAL QUIMICA DEL NOROESTE, S.A. DE C.V. | 1 | 2,880 MXN | 16 % | 16 | 2014 - 2014 |
| EQUIPOS Y BOMBAS INDUSTRIALES DE BAJA, S.A. DE C.V | 1 | 1,309.4 MXN | 83.1 % | 8.31 | 2010 - 2010 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 1 | 1,193.3 MXN | 25.2 % | 7.57 | 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=080.909.0236.10")
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=080.909.0236.10')
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=080.909.0236.10')