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Description
PARA IMPRESORA MARCA XEROX MODELO PHASER 3320, NUMERO DE PARTE 106R02306
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.5963.00
Each circle represents one of the 3 purchases of CARTUCHO DE TONER made by the IMSS between 2017 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 3 | 675,378 MXN | 93,804.4 MXN | 11.2 % | 28.7 | 23 de abril de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LIRA Y HERNANDEZ, S. A. DE C. V. | 2 | 93,804.4 MXN | 16.8 % | 28.7 | 2017 - 2018 |
| GRUPO CONSU-OFFICE S. DE R.L. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
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=372.197.5963.00")
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=372.197.5963.00')
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=372.197.5963.00')