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Description
Compra Emergente
IMSS product code
080.414.1430.04
Each circle represents one of the 4 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 2 | 1,426.9 MXN | 238.6 MXN | 27.6 % | 0.552 | 24 de noviembre de 2009 |
| Delegación Querétaro | Querétaro | 2 | 1,450 MXN | 0.000000000000114 MXN | 0.00000000000000653 % | 0.000000000000000455 | 5 de julio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SANCHEZ JIMENEZ JOSAFATH EZEQUIEL | 2 | 0.000000000000114 MXN | 0.00000000000000653 % | 0.000000000000000455 | 2010 - 2010 |
| COMERCIALIZADORA CRIS-LAB, S.A. DE C.V. | 1 | 238.6 MXN | 55.2 % | 0.552 | 2009 - 2009 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
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=080.414.1430.04")
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=080.414.1430.04')
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=080.414.1430.04')