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Description
Gubia Stellbrink curva de 170 mm de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.457.0355.00
Presentation
Pieza
Each circle represents one of the 4 purchases of GUBIA made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 3,607.6 MXN | 460.1 MXN | 14.6 % | 0.293 | 13 de marzo de 2017 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,885 MXN | 297.5 MXN | 18.7 % | 0.187 | 27 de junio de 2017 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,345.5 MXN | 175.5 MXN | 15 % | 0.15 | 17 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 933.1 MXN | 15.8 % | 0.63 | 2009 - 2017 |
Entity type
Instrumental de cirugia de especialidades
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=537.457.0355.00")
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=537.457.0355.00')
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=537.457.0355.00')