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Description
CANULA PARA TRAQUEOSTOMIA. -DE ELASTOMETRO DE SILICON, -CALIBRE (FR) 30, DIAMETRO INTERNO 7.0 MM., DIAMETRO EX--TERNO 10.0 MM.
IMSS product code
060.168.8237.13
Each circle represents one of the 14 purchases of CÁNULAS made by the IMSS between 2017 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GL MEDICA S.A. DE C.V. | 6 | 25,824.3 MXN | 83.8 % | 52.2 | 2018 - 2018 |
| AVISA MEDICAL, S.A. DE C.V. | 2 | 5,408.6 MXN | 99.5 % | 10.9 | 2018 - 2018 |
| ORVI DISTRIBUCIONES SA DE CV | 2 | 40,270.5 MXN | 428.8 % | 81.5 | 2018 - 2018 |
| CARDIOPACE, S.A. DE C.V. | 1 | 2,191.6 MXN | 147.8 % | 4.43 | 2018 - 2018 |
| KENDALL DE MEXICO, S.A. DE C.V. | 1 | - MXN | - | - | 2017 - 2017 |
| MEDICA ZARPA, S.A. DE C.V. | 1 | 7,019.4 MXN | 109.2 % | 14.2 | 2018 - 2018 |
| MONTECOORSO COMERCIAL. S.A. DE C.V. | 1 | 12,698.7 MXN | 367 % | 25.7 | 2018 - 2018 |
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=060.168.8237.13")
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=060.168.8237.13')
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=060.168.8237.13')