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Description
BOLSA PARA RECOLECTAR SANGRE. UNA BOLSA DE 450-500 MLCON 67.5-75 ML DE SOLUCION ACD Y UN TUBO COLECTOR INTEGRADO CON AGUJA NO. 15 O 16.
IMSS product code
080.098.0070.10
Each circle represents one of the 3 purchases of BOLSAS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 3 | 261,089.6 MXN | 34,929.6 MXN | 15.7 % | 496 | 22 de mayo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 24,536 MXN | 15.5 % | 368 | 2009 - 2012 |
| TECNOLOGIA EQUIPAMIENTO Y SERVICIOS, S. A. DE C. V | 1 | 10,393.6 MXN | 16 % | 128 | 2013 - 2013 |
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=080.098.0070.10")
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=080.098.0070.10')
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=080.098.0070.10')