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Description
VENDA DE GOMA (SMARCH) DE HULE NATURAL, GRADO MEDICOLONG 2.7 M ANCHO 8 CM.
IMSS product code
060.953.0282.02
Each circle represents one of the 2 purchases of VENDAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco | Jalisco | 1 | 542 MXN | 0.00161 MXN | 0.000297 % | 0.0000069 | 18 de febrero de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 2,122.8 MXN | 292.8 MXN | 16 % | 1.6 | 10 de septiembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 292.8 MXN | 16 % | 1.6 | 2012 - 2012 |
| Proveedor local no identificado (Compra Emergente) | 1 | 0.00161 MXN | 0.000297 % | 0.0000069 | 2010 - 2010 |
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=060.953.0282.02")
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=060.953.0282.02')
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=060.953.0282.02')