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Description
DE 7 PULGADAS DE 180 MM X 17 MM:"MATERIAL DESECHABLE BIODEGRADABLE"
Classification
Artículos de consumo. Articulos de cocina y comedor
IMSS product code
120.736.1724.00
Each circle represents one of the 2 purchases of PLATO made by the IMSS between 2016 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,914 MXN | 264 MXN | 16 % | 80 | 28 de febrero de 2017 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 23,176.8 MXN | 3,196.8 MXN | 16 % | 2,880 | 18 de octubre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CECILIO PIMENTEL OROZCO | 1 | 3,196.8 MXN | 16 % | 2,880 | 2016 - 2016 |
| RUIZ DUARTE ARELI MIREYA | 1 | 264 MXN | 16 % | 80 | 2017 - 2017 |
Entity type
Articulos de cocina y comedor
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=120.736.1724.00")
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=120.736.1724.00')
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=120.736.1724.00')