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Description
EPSON STYLUS 777 NO, DE PARTE 7017
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2184.00
Each circle represents one of the 6 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 6 | 27,239.9 MXN | 3,757.2 MXN | 19 % | 8 | 27 de julio de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BAZAN SANTIAGO LORENZO | 3 | 641.4 MXN | 21.7 % | 1.56 | 2010 - 2010 |
| NAVARRO VALDEZ MARIA GUADALUPE | 2 | 2,180.2 MXN | 16.8 % | 4.16 | 2011 - 2011 |
| ESQUINCA RIOS MAGDALENA | 1 | 935.6 MXN | 15.2 % | 2.28 | 2010 - 2010 |
Entity type
Material de uso en equipos de computo
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=372.197.2184.00")
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=372.197.2184.00')
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=372.197.2184.00')