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Description
TORNILLOS PARA HUESO ESPONJOSO, CON CABEZA ESFEROIDAL, DE 4.0 MM DE DIAMETRO. ROSCA COMPLETA. LONGITUD: 20 MM.
Classification
Material médico. Material de curacion
IMSS product code
060.899.3358.12
Each circle represents one of the 4 purchases of TORNILLOS made by the IMSS between 2012 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 4 | 19,256 MXN | 2,656 MXN | 16 % | 81.1 | 4 de diciembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 3 | 336 MXN | 16 % | 1.12 | 2014 - 2014 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 2,320 MXN | 16 % | 80 | 2012 - 2012 |
Entity type
Material de curacion
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=060.899.3358.12")
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=060.899.3358.12')
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=060.899.3358.12')