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Description
SUSTITUTO DE HUESO. HIDROXIAPATITA POROSA O FOSFATO TRICALCICO. ESPESOR: 10 MM. ANCHO: 20 MM. LARGO: 30 MM O PRESENTACION EQUIVALENTE.
IMSS product code
060.730.0464.02
Each circle represents one of the 1 purchases of SUSTITUTO DE HUESO made by the IMSS between 2011 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 130,662.4 MXN | 18,022.4 MXN | 16 % | 3.52 | 19 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| UNIVERSAL SERVICIOS PENINSULARES, S.A DE C.V | 1 | 18,022.4 MXN | 16 % | 3.52 | 2011 - 2011 |
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=060.730.0464.02")
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=060.730.0464.02')
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=060.730.0464.02')