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Description
IMPRESION EN SECO 8 X 10 PULGADAS (203 X 25.4 CM) BASE OPACA, PARA CAMARA DE IMPRESION EN SECO MARCA: AGFA, MODELO DRYSTAR 2000 B/N COLOR, TS20, NÚMERO DE CATÁLOGO: 39C6F, PARA SU USO EN EL
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.0024.00
Presentation
CAJA 100 HOJAS.
Each circle represents one of the 64 purchases of PELICULA made by the IMSS between 2010 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 62 | 2.1 millones MXN | 569,121.3 MXN | 25.8 % | 185.1 | 27 de marzo de 2015 |
| Delegación Chihuahua | Chihuahua | 2 | 34,800 MXN | - MXN | - | - | 8 de noviembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| REPRESENTACIONES MEDICAS GREKAL S,A DE C,V, | 38 | 47,784.5 MXN | 20 % | 19.7 | 2010 - 2015 |
| DISTRIBUCIONES Y REPRESENTACIONES CHIH S.A. DE C.V | 16 | 10,057.7 MXN | 4.03 % | 4.77 | 2010 - 2014 |
| ELECTRONICA Y MEDICINA, S. A. | 7 | 35,446.8 MXN | 78.6 % | 19.2 | 2010 - 2011 |
| CHAVEZ RODRIGUEZ MARIA MAGDALENA | 1 | - MXN | - | - | 2011 - 2011 |
| CONTROL SCIENTIFIC, S.A. DE C.V. | 1 | 472,690.6 MXN | 57.3 % | 139.8 | 2012 - 2012 |
| OROZCO RICO BLANCA ESTELA | 1 | 3,141.8 MXN | 170.2 % | 1.7 | 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=379.687.0024.00")
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=379.687.0024.00')
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=379.687.0024.00')