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Description
TALLA 29.5 COLOR BLANCO.
Classification
Ropa y Telas. Vestuario no contractual
IMSS product code
230.998.0189.00
Each circle represents one of the 5 purchases of ZAPATO UNISEX PARA MEDICA O MEDICO RESIDENTE made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 5 | 15,466 MXN | 2,107 MXN | 15.8 % | 5.92 | 15 de enero de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECERRA OVANDO JUAN PABLO | 2 | 646.1 MXN | 15.5 % | 3.36 | 2009 - 2011 |
| GUTIERREZ BELTRAN MA. DE LOS ANGELES | 2 | 1,032 MXN | 16 % | 1.44 | 2014 - 2015 |
| RUIZ ALVARADO ALEJANDRA | 1 | 429 MXN | 16 % | 1.12 | 2016 - 2016 |
Entity type
Vestuario no contractual
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=230.998.0189.00")
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=230.998.0189.00')
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=230.998.0189.00')