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Description
TORNILLOS PARA HUESO ESPONJOSO DE 6.5 MM DE DIAMETRO, CON ROSCA EN TODA SU LONGITUD. LONGITUD 50 MM.
Classification
Material médico. Material de curacion
IMSS product code
060.899.1048.11
Each circle represents one of the 2 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 | 1 | 974.4 MXN | 134.4 MXN | 16 % | 0.64 | 21 de agosto de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 394.4 MXN | 54.4 MXN | 16 % | 0.16 | 23 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SPINEMED, S.A. DE C.V. | 1 | 54.4 MXN | 16 % | 0.16 | 2012 - 2012 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 1 | 134.4 MXN | 16 % | 0.64 | 2014 - 2014 |
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=060.899.1048.11")
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=060.899.1048.11')
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=060.899.1048.11')