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Description
CATETERES. CATETER PARA ANGIOGRAFIA CEREBRAL, DE NYLON O POLITETRAFLUORETILENO. CURVA 1. ESTERIL Y DESECHABLE. TIPO: NIH. LONGITUD: 80 CM CALIBRE. 5 FR.
IMSS product code
060.167.1233.13
Each circle represents one of the 2 purchases of CATÉTERES made by the IMSS between 2011 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 348 MXN | 48 MXN | 16 % | 0.16 | 24 de septiembre de 2013 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 7,829.9 MXN | 1,080 MXN | 16 % | 1.44 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | 48 MXN | 16 % | 0.16 | 2013 - 2013 |
| ENDOMEDICA,S. A. DE C. V. | 1 | 1,080 MXN | 16 % | 1.44 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.1233.13")
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=060.167.1233.13')
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=060.167.1233.13')