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Description
TORNILLOS PARA HUESO ESPONJOSO, CON DIAMETRO DE 6.5 MM, CON CABEZA ESFEROIDAL Y ROSCA DE 32 MM DE LONGITUD. LONGITUD: DE 45.0 MM A 110.0 MM. INCLUYE MEDIDAS INTERMEDIAS ENTRE LAS ESPECIFICADAS.
IMSS product code
060.899.0982.13
Each circle represents one of the 4 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 | 4 | 6,318.9 MXN | 1,347 MXN | 21.3 % | 2.47 | 4 de diciembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ORTHOSURGERY SA DE CV | 2 | 91.4 MXN | 4.2 % | 0.168 | 2014 - 2014 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 2 | 1,255.6 MXN | 38.4 % | 2.31 | 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=060.899.0982.13")
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=060.899.0982.13')
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=060.899.0982.13')