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Description
TORNILLOS PARA HUESO ESPONJOSO, DE 6.5 MM DE DIAMETRO, CON ROSCA EN TODA SU LONGITUD. LONGITUD: DE 25.0 MM A 110.0 MM. INCLUYE MEDIDAS INTERMEDIAS ENTRE LAS ESPECIFICADAS
IMSS product code
060.899.1030.12
Each circle represents one of the 2 purchases of TORNILLOS 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 | 2 | 3,629.3 MXN | 930.2 MXN | 22.3 % | 1.78 | 21 de agosto de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ORTHOSURGERY SA DE CV | 1 | - MXN | - | - | 2014 - 2014 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 1 | 930.2 MXN | 44.6 % | 1.78 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
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Part of the project
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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=060.899.1030.12")
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=060.899.1030.12')
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=060.899.1030.12')