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Description
DE CUATRO GAVETAS DE 095 X 0,50 X 1,35 CM, FABRICADO DE ACERO LAMINADO EN FRIO (CR) CON CORREDORAS EMBALINADAS, DE PROYECCION TOTAL Y FRENTE DE FIBRA DE MADERA COMPRIMIDA DE ALTA RESITENCIA (MDF), PROVISTO DE CERRADURA.
Classification
Mobiliario. Mobiliario administrativo
IMSS product code
511.076.0898.00
Each circle represents one of the 1 purchases of ARCHIVERO made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 6,496 MXN | 896 MXN | 16 % | 0.16 | 26 de abril de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EDVAG CONCEPTOS COMERCIALES, SA DE CV | 1 | 896 MXN | 16 % | 0.16 | 2013 - 2013 |
Entity type
Mobiliario administrativo
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=511.076.0898.00")
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=511.076.0898.00')
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=511.076.0898.00')