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Description
CATETERES PARA ANGIOGRAFIA Y ARTERIOGRAFIA CAROTIDEA IZQUIERDA, POR TECNICA PERCUTANEA CON TRES ORIFICIOS DESECHABLE. LONGITUD 110 CM. CALIBRE 7 FR.
IMSS product code
060.167.7693.11
Each circle represents one of the 2 purchases of CATÉTERES made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 23,682.6 MXN | 3,266.6 MXN | 16 % | 12.8 | 15 de junio de 2017 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 6,986.3 MXN | 911.3 MXN | 15 % | 1.35 | 12 de mayo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CEO HEALTH SA DE CV | 1 | 3,266.6 MXN | 16 % | 12.8 | 2017 - 2017 |
| COMERCIALIZADORA FOCE, S.A. DE C.V. | 1 | 911.3 MXN | 15 % | 1.35 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.7693.11")
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=060.167.7693.11')
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=060.167.7693.11')