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Description
SUSTITUTO DE HUESO. HIDROXIAPATITA POROSA O FOSFATO TRICALCICO. ESPESOR: 10 MM. ANCHO: 10 MM. LARGO: 20 MM O PRESENTACION EQUIVALENTE.
IMSS product code
060.730.0449.02
Each circle represents one of the 4 purchases of SUSTITUTO DE HUESO 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 | 2 | 23,780 MXN | 3,670 MXN | 17.9 % | 0.358 | 4 de diciembre de 2014 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 118,320 MXN | 16,320 MXN | 16 % | 0.96 | 25 de noviembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JAIME OJEDA HERNANDEZ | 2 | 16,320 MXN | 16 % | 0.96 | 2013 - 2013 |
| SUMINISTROS MEDICOS Y SERVICIOS ORTOPEDICOS S.A. D | 2 | 3,670 MXN | 17.9 % | 0.358 | 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=060.730.0449.02")
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=060.730.0449.02')
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=060.730.0449.02')