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Description
LIPOPROTEINAS DE ALTA DENSIDAD (HDL COLESTEROL) COMPUESTO DE REACTIVO PRECIPITANTEDE LIPOPROTEINAS DE BAJA YMUY BAJA DENSIDAD, REACTIVODE COLESTEROL ENZIMATICO (PARA METODOS MANUALES Y AUTOMATIZADOS) Y ESTANDAR PARA HDL
IMSS product code
080.783.3694.04
Each circle represents one of the 3 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 4,830 MXN | 630 MXN | 31.4 % | 0.9 | 17 de abril de 2009 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 1,972 MXN | 272 MXN | 16 % | 0.16 | 26 de octubre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | 630 MXN | 31.4 % | 0.9 | 2009 - 2009 |
| DICIPA, S. A. DE C. V. | 1 | 272 MXN | 16 % | 0.16 | 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=080.783.3694.04")
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=080.783.3694.04')
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=080.783.3694.04')