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Description
CANULAS PARA DRENAR VENAS CAVAS. ANGULADA CON PUNTA METALICA CALIBRE 30 FR.
IMSS product code
060.166.0954.01
Each circle represents one of the 7 purchases of CÁNULAS made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 7 | 36,191 MXN | 4,991.9 MXN | 16 % | 7.52 | 1 de enero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 5 | 3,488.1 MXN | 16 % | 5.6 | 2011 - 2017 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 1 | 623.8 MXN | 16 % | 1.12 | 2011 - 2011 |
| TERUMO MEDICAL DE MEXICO, S.A. DE C.V. | 1 | 879.9 MXN | 16 % | 0.8 | 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=060.166.0954.01")
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=060.166.0954.01')
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=060.166.0954.01')