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Description
TUBO SISTEMA PARA TOMA Y RECOLECCION DE SANGRE, DE VIDRIO AL VACIO, (10.25 X 64MM) DESECHABLE PARA ADULTO,CON CITRATO DE SODIO 0.129MOLAR (0.3 ML), LIQUIDO, TA-PON AZUL. EL TAPON Y EL INTERIOR DEL TUBO RECUBIERTO CON
IMSS product code
080.909.1341.10
Each circle represents one of the 5 purchases of TUBOS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 2 | 109,852 MXN | 12,771.7 MXN | 14.5 % | 108.8 | 19 de febrero de 2013 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 1,687.2 MXN | 1,227.3 MXN | 266.9 % | 10.7 | 12 de octubre de 2010 |
| Delegación Colima | Colima | 1 | 333.5 MXN | - MXN | - | - | 7 de febrero de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 2,598.4 MXN | 1,678.6 MXN | 182.5 % | 14.6 | 20 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 2 | 12,771.7 MXN | 14.5 % | 108.8 | 2010 - 2013 |
| CARDENAS ALCARAZ LORENA GUADALUPE | 1 | - MXN | - | - | 2009 - 2009 |
| COMERCIALIZADORA MYL PRODUCTOS, S.A. DE C.V. | 1 | 1,227.3 MXN | 266.9 % | 10.7 | 2010 - 2010 |
| RD GRUPO MEDICO, S.A. DE C.V. | 1 | 1,678.6 MXN | 182.5 % | 14.6 | 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=080.909.1341.10")
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=080.909.1341.10')
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=080.909.1341.10')