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Description
CATETERES PARA ANGIOGRAFIA Y TOMOGRAFIA CEREBRAL CON TRES ORIFICIOS, DESECHABLE TIPO HEAD HUNTER. LONGITUD 110 CM. CALIBRE 7 FR.
IMSS product code
060.167.7719.11
Each circle represents one of the 4 purchases of CATÉTERES made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 4 | 5,568 MXN | 753 MXN | 15.5 % | 1.88 | 10 de marzo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CARDIO-NEF, S.A. DE C.V. | 3 | 477 MXN | 15.3 % | 1.08 | 2009 - 2010 |
| ESCAMILLA ZENTENO AURORA | 1 | 276 MXN | 16 % | 0.8 | 2011 - 2011 |
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=060.167.7719.11")
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=060.167.7719.11')
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=060.167.7719.11')