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Description
COLESTEROL POLVO METODO ENZIMATICO COLORIMETRICO DE PUNTO FINAL CON ESTERASA-OXIDA-SA (TRINDER) ESTABILIDAD MI-NIMA 30 DIAS DESPUES DE RECONSTITUIR CON AGUA DESTILADA (2 A 8 GRADOS C) RTC.
IMSS product code
080.783.3165.01
Each circle represents one of the 2 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2015 and 2015.
| 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 | 27,561.6 MXN | 3,801.6 MXN | 16 % | 23 | 3 de noviembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANA KAREN SANCHEZ VIZCARRA | 2 | 3,801.6 MXN | 16 % | 23 | 2015 - 2015 |
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=080.783.3165.01")
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=080.783.3165.01')
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=080.783.3165.01')