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Description
TAMAÑO 10" X 12" CON ESTANDAR DMAX SUPERIOR A 36, PARA IMPRESORA LASER DE 508 PIXELES LASER POR PULGADA Y TAMAÑO DE PUNTO DIGITAL DE 50 MICRONES MARCA: CARESTREAM, MODELO: DRYVIEW 5850, APLICACION: MASTOGRAFIA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1469.00
Each circle represents one of the 5 purchases of PELICULA made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 346,134.7 MXN | 46,556.5 MXN | 15.4 % | 13.1 | 13 de mayo de 2015 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 2 | 57,084.1 MXN | 6,686.7 MXN | 11.9 % | 1.35 | 9 de julio de 2018 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 92,488.7 MXN | 15,130.2 MXN | 19.6 % | 3.91 | 7 de julio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| REPRESENTACIONES MEDICAS RADIOLOGICAS DEL NORTE, S | 2 | 46,556.5 MXN | 15.4 % | 13.1 | 2014 - 2015 |
| IMADINE, S.A. DE C.V. | 1 | 15,130.2 MXN | 19.6 % | 3.91 | 2015 - 2015 |
| MARIA MARTHA ROJANO ROSALES | 1 | 1,295.3 MXN | 7.76 % | 0.388 | 2014 - 2014 |
| NUMEFARM, S. DE R. L. DE C. V. | 1 | 5,391.4 MXN | 16 % | 0.96 | 2018 - 2018 |
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=379.687.1469.00")
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=379.687.1469.00')
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=379.687.1469.00')