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Description
IMPRESION EN SECO 14 X 17 PULGADAS BASE CLARA, PARA CAMARA DE IMPRESION EN SECO MARCA: AGFA, MODELO DRYSTAR 3000, TM1C MARCA: AGFA, MODELO DRYSTAR 3000, TM1B
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0081.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 5 purchases of PELICULA made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 5 | 545,618.1 MXN | 71,776.2 MXN | 16.3 % | 19.4 | 25 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CARMONA LEMUS JOSE LUIS | 4 | 66,920.6 MXN | 16.4 % | 18.1 | 2009 - 2010 |
| INGENIERIA EN RADIODIAGNOSTICO DE MORELIA SA DE CV | 1 | 4,855.6 MXN | 16 % | 1.28 | 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=379.687.0081.00")
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=379.687.0081.00')
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=379.687.0081.00')