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Description
AMILASA, METODO ENZIMATICO -CINETICO CON SUSTRATO DEP-NITROFENIL-MALTOSIDO, FRASCO CON POLVO PARA 7 ML OFRASCO CON 10 ML, ESTABILIDAD MINIMA DE 30 DIAS DESPUES DE RECOSTITUIR CONAGUA DESTILADA O LA INDICADA
IMSS product code
080.783.3686.02
Each circle represents one of the 3 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 3,990.4 MXN | 867.1 MXN | 27.6 % | 0.553 | 23 de septiembre de 2011 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 3,152.4 MXN | - MXN | - | - | 7 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SAINZ MENDIA PALOMA RUBI | 1 | 247.2 MXN | 16 % | 0.16 | 2010 - 2010 |
| SAINZ ROSAS LUIS CARLOS | 1 | 619.9 MXN | 39.3 % | 0.393 | 2011 - 2011 |
| SANCHEZ VALDEZ JUANA MARIA | 1 | - MXN | - | - | 2011 - 2011 |
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=080.783.3686.02")
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=080.783.3686.02')
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=080.783.3686.02')