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Description
TORNILLO CORTICAL AUTORROSCANTE, DE 4.5 MM DE DIAMETRO, PARA DIAFISIS. LONGITUD: DE 31.0 MM A 43.0 MM INCLUYE MEDIDAS INTERMEDIAS ENTRE LAS ESPECIFICADAS.
IMSS product code
060.722.0324.01
Each circle represents one of the 3 purchases of PLACAS made by the IMSS between 2014 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 3 | 3,926 MXN | 541.5 MXN | 38.9 % | 3.2 | 9 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ORTHOSURGERY SA DE CV | 2 | 184 MXN | 5.48 % | 1.09 | 2014 - 2014 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 1 | 357.5 MXN | 105.6 % | 2.11 | 2014 - 2014 |
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=060.722.0324.01")
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=060.722.0324.01')
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=060.722.0324.01')