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Description
BOLSA PARA CONGELACION DE CELULAS SANGUINEAS CAPACIDAD500 ML, PARA CONGELAR 75 A250 ML (APTA PARA INMERSIONEN NITROGENO LIQUIDO).
IMSS product code
080.098.0120.10
Each circle represents one of the 3 purchases of BOLSAS made by the IMSS between 2012 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 3 | 201,158.8 MXN | 27,746 MXN | 16 % | 42.2 | 9 de octubre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION ANALITICA, S. A. DE C. V. | 3 | 27,746 MXN | 16 % | 42.2 | 2012 - 2015 |
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=080.098.0120.10")
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=080.098.0120.10')
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=080.098.0120.10')