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Description
DRYSTAR TM1B MAMO 203 X 25.4 CM PARA REVELADORA EN SECO DRYSTAR 4500, NÚMERO DE CATÁLOGO: EGVOV, PARA SU USO EN EL EQUIPO: CLAVE 531 341 2487 MASTOGRAFIA DIGITAL DE CAMPO COMPLETO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0966.00
Presentation
CAJA CON 100.
Each circle represents one of the 1 purchases of PELICULA RADIOGRAFICA made by the IMSS between 2011 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 5,637.6 MXN | 777.6 MXN | 16 % | 0.48 | 5 de octubre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| IMADINE, S.A. DE C.V. | 1 | 777.6 MXN | 16 % | 0.48 | 2011 - 2011 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.687.0966.00")
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=379.687.0966.00')
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=379.687.0966.00')