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Description
PLACAS RECTAS ANGOSTAS CON ORIFICIOS DE COMPRESION DINAMICA PARA TORNILLOS DE 4.5 MM Y 6.5 MM DE DIAMETRO. NUMERO DE ORIFICIOS: DE 2 A 18. INCLUYE MEDIDAS INTERMEDIAS ENTRE LAS ESPECIFICADAS.
IMSS product code
060.725.2988.12
Each circle represents one of the 3 purchases of PLACAS made by the IMSS between 2013 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 3 | 16,743.9 MXN | 4,179.6 MXN | 57.2 % | 2.52 | 13 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ORTHOSURGERY SA DE CV | 2 | 1,002.2 MXN | 8 % | 0.96 | 2013 - 2014 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 1 | 3,177.4 MXN | 155.6 % | 1.56 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.725.2988.12")
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=060.725.2988.12')
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=060.725.2988.12')