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Description
MEDIOS DE CONTRASTE. GRUPO12: DE APLICACION POR VIA BUCAL O RECTAL. INDICACION: ESTUDIOS DE TUBO DIGESTIVO. SULFATO DE BARIO DE ALTA DENSIDAD, POLVO, PARA ESTUDIOS DE DOBLE CONTRASTE.
IMSS product code
070.590.0041.01
Each circle represents one of the 2 purchases of MEDIOS DE CONTRASTE made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 65,231 MXN | 25,421.4 MXN | 45.2 % | 14.5 | 18 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CHEMICAL EXPRESS, S.A. DE C.V. | 1 | 25,421.4 MXN | 90.4 % | 14.5 | 2010 - 2010 |
| JUSTESA IMAGEN MEXICANA, S. A. DE C. V. | 1 | - MXN | - | - | 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=070.590.0041.01")
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=070.590.0041.01')
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=070.590.0041.01')