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Description
SOLUCION AMORTIGUADORA BU- -FFER ACETATO PH 4.9 TA.
IMSS product code
080.823.3837.01
Each circle represents one of the 3 purchases of SOLUCIONES AMORTIGUADORAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 2 | 153.1 MXN | 21.1 MXN | 16 % | 0.32 | 20 de diciembre de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 3,132 MXN | 432 MXN | 16 % | 0.32 | 12 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| TOY TAVARES WILLIAMS | 2 | 21.1 MXN | 16 % | 0.32 | 2010 - 2010 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 432 MXN | 16 % | 0.32 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.823.3837.01")
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=080.823.3837.01')
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=080.823.3837.01')