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Description
SONDAS PARA DRENAJE CON CUATRO ALETAS PARA AUTORRETENCION DE LATEX, ESTERIL Y DESECHABLE, TIPO: MALECOT. CALIBRE 20 FR.
IMSS product code
060.166.0814.02
Each circle represents one of the 3 purchases of SONDAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 3,677.7 MXN | - MXN | - | - | 1 de enero de 2009 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 801.7 MXN | 657.5 MXN | 455.7 % | 4.56 | 1 de septiembre de 2009 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 2,463.2 MXN | 339.8 MXN | 16 % | 2.08 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 2 | 339.8 MXN | 8 % | 2.08 | 2009 - 2011 |
| PROVEEDORA MEDICA CELMAG, S.A. DE C.V. | 1 | 657.5 MXN | 455.7 % | 4.56 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.166.0814.02")
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=060.166.0814.02')
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=060.166.0814.02')