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Classification
Artículos de consumo. Impresos
IMSS product code
320.005.9230.01
Each circle represents one of the 2 purchases of NOMBRE PENDIENTE POR ASIGNAR made by the IMSS between 2013 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 16,711 MXN | 2,305 MXN | 16 % | 2.08 | 20 de abril de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FORMULARIOS DE MEXICO, S. A. DE C. V. | 1 | 2,137 MXN | 16 % | 1.92 | 2017 - 2017 |
| SERVICIOS Y SISTEMAS IMPRESOS, S.A. DE C.V. | 1 | 168 MXN | 16 % | 0.16 | 2013 - 2013 |
Entity type
Impresos
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=320.005.9230.01")
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=320.005.9230.01')
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=320.005.9230.01')