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Description
Para leucoféresis estéril y desechable
Classification
Material médico. Material de curacion
IMSS product code
060.345.1451.00
Presentation
Pieza
Each circle represents one of the 2 purchases of EQUIPOS made by the IMSS between 2014 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 9,094.4 MXN | 1,254.4 MXN | 16 % | 0.16 | 9 de diciembre de 2014 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 40,572.2 MXN | 5,596.2 MXN | 16 % | 1.28 | 29 de septiembre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 1 | 5,596.2 MXN | 16 % | 1.28 | 2017 - 2017 |
| MEDICA INTEGRAL HDM S.A DE C.V. | 1 | 1,254.4 MXN | 16 % | 0.16 | 2014 - 2014 |
Entity type
Material de curacion
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=060.345.1451.00")
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=060.345.1451.00')
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=060.345.1451.00')