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Description
MARCA HP MODELO 2000 NO DE PARTE C4843A
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.2051.00
Each circle represents one of the 2 purchases of CARTUCHO PARA IMPRESORA made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 481.9 MXN | 148.1 MXN | 44.4 % | 0.444 | 20 de noviembre de 2009 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 1,437.4 MXN | 102.3 MXN | 7.66 % | 0.306 | 17 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES DE COMPUTO Y OFICINA, | 1 | 148.1 MXN | 44.4 % | 0.444 | 2009 - 2009 |
| ALVAREZ CAMPOS CARLOS RICARDO | 1 | 102.3 MXN | 7.66 % | 0.306 | 2009 - 2009 |
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=372.197.2051.00")
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=372.197.2051.00')
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=372.197.2051.00')