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Description
CEMENTO DE IONOMERO DE VI-DRIO RESTAURATIVO II, COLORNO. 21, POLVO 15 G, SILI CATODE ALUMINIO (95 A 97%), ACIDO POLIACRILICO (3 A 5%),LIQUIDO: 10 G 8 ML, ACIDOPOLIACRILICO (75%), ACIDOTARTARICO (10 A 15%), BARNIZCOMPATIBLE
IMSS product code
060.182.0178.10
Each circle represents one of the 9 purchases of CEMENTOS made by the IMSS between 2011 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 9 | 143,763.8 MXN | 19,829.5 MXN | 16 % | 17.3 | 21 de marzo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROTECNOLOGICA INTEGRAL MUVA, S.A. DE C.V. | 9 | 19,829.5 MXN | 16 % | 17.3 | 2011 - 2012 |
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=060.182.0178.10")
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=060.182.0178.10')
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=060.182.0178.10')