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Description
DE TAMAÑO 10" X 12" PARA IMPRESORA LASER EN SECO MARCA: KONICA MINOLTA MODELO DRYPRO 832 NÚMERO DE CATÁLOGO: 0163010, PARA SU USO EN EL EQUIPO MEDICO: CLAVE 531 341 0499 0101
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1386.00
Presentation
CAJA CON 125 PELICULAS.
Each circle represents one of the 14 purchases of PELICULA made by the IMSS between 2013 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 7 | 1.2 millones MXN | 212,804.2 MXN | 23.5 % | 59.7 | 19 de abril de 2017 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 6 | 2.8 millones MXN | 339,094.1 MXN | 16.9 % | 94.4 | 9 de agosto de 2017 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 115,130 MXN | 20,925.5 MXN | 22.2 % | 5.55 | 7 de julio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA SOLUCE SA DE CV | 7 | 268,663.7 MXN | 21.8 % | 76.3 | 2014 - 2017 |
| CSE ELECTROMEDICOS, S.A. DE C.V. | 3 | 35,866.9 MXN | 13.4 % | 9.92 | 2013 - 2015 |
| ELECTRONICA Y MEDICINA, S. A. | 1 | 45,771.7 MXN | 15.4 % | 12.3 | 2017 - 2017 |
| EMD S.A.P.I.DE C.V. | 1 | 20,925.5 MXN | 22.2 % | 5.55 | 2015 - 2015 |
| INDUSTRIA ELECTRONICA MEDICA, S.A. DE C.V. | 1 | 154,713.2 MXN | 16 % | 42.4 | 2013 - 2013 |
| JORGE CONSTANTINO ARREOLA ESCOBAR | 1 | 46,882.9 MXN | 41.6 % | 13.3 | 2014 - 2014 |
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=379.687.1386.00")
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=379.687.1386.00')
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=379.687.1386.00')