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Description
CANULA PARA TRAQUEOSTOMIA. -ADULTO. DE CLORURO DE POLIVINILO, CON BALON, CURV ADA,CINTA DE FIJACION, GLOBO DEBAJA PRESION Y ALTO VOLUMEN,OPACA A LOS RAYOS X, CON ENDOCANULA, PLACA DE RETENCIONDE LA ENDOCANULA Y GUIA DEINSERCION. ESTER
IMSS product code
060.168.0945.06
Each circle represents one of the 5 purchases of CÁNULAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Nuevo León | Nuevo León | 2 | 4,315.2 MXN | 0.000000000000682 MXN | 0.0000000000000158 % | 0.00000000000000055 | 13 de enero de 2011 |
| Delegación Coahuila | Coahuila | 1 | 1,316.8 MXN | - MXN | - | - | 5 de febrero de 2009 |
| Delegación Veracruz Norte | Veracruz | 1 | 3,450 MXN | 272.2 MXN | 8.56 % | 0.197 | 9 de marzo de 2009 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 14,616 MXN | 2,016 MXN | 16 % | 0.96 | 6 de enero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA GAYDI, S.A. DE C.V. | 2 | 0.000000000000682 MXN | 0.0000000000000158 % | 0.00000000000000055 | 2011 - 2011 |
| DURFA, S. A. DE C. V. | 1 | 2,016 MXN | 16 % | 0.96 | 2012 - 2012 |
| JORGE ALBERTO ESCARE?O ESTRADA | 1 | - MXN | - | - | 2009 - 2009 |
| MORA HERMILO DAVID | 1 | 272.2 MXN | 8.56 % | 0.197 | 2009 - 2009 |
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=060.168.0945.06")
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=060.168.0945.06')
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=060.168.0945.06')