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Description
TORNILLOS PARA HUESO CORTICAL DE 4.5 MM DE DIAMETRO. LONGITUD 70 MM.
Classification
Material médico. Material de curacion
IMSS product code
060.899.2012.11
Each circle represents one of the 2 purchases of TORNILLOS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 858.4 MXN | 118.4 MXN | 16 % | 3.2 | 9 de julio de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,484.8 MXN | 204.8 MXN | 16 % | 0.8 | 24 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MAYOREO MEDICO DEL NOROESTE, S.A. DE C.V. | 1 | 204.8 MXN | 16 % | 0.8 | 2010 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 118.4 MXN | 16 % | 3.2 | 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=060.899.2012.11")
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=060.899.2012.11')
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=060.899.2012.11')