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Description
BOLSAS PARA RECOLECTAR Y FRACCIONAR SANGRE, CUADRUPLE: CONTIENE UNA BOLSA PRIMARIA DE 450-500 ML. CON 63 ML. DE SOLUCION ANTICOAGULANTE CPD, CONECTADA A UN TUBO COLECTOR INTEGRAL CON AGUJA DE 15 O 16 G. Y POR SU EXTREMO SUPERIOR E
IMSS product code
080.098.0211.02
Each circle represents one of the 2 purchases of BOLSAS made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 2 | 61,991.6 MXN | 5,635.6 MXN | 10 % | 29.2 | 10 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GONZALEZ FLORES CARLOS ALBERTO | 2 | 5,635.6 MXN | 10 % | 29.2 | 2009 - 2009 |
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=080.098.0211.02")
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=080.098.0211.02')
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=080.098.0211.02')