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Description
ACIDO ACETICO AL 5% .
IMSS product code
080.783.1573.10
Each circle represents one of the 2 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 556.8 MXN | 76.8 MXN | 16 % | 3.84 | 16 de abril de 2013 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 3,361.7 MXN | 463.7 MXN | 16 % | 7.36 | 21 de julio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA GLAVS, S.A. DE C.V. | 1 | 76.8 MXN | 16 % | 3.84 | 2013 - 2013 |
| SUMILAB, S.A. DE C.V. | 1 | 463.7 MXN | 16 % | 7.36 | 2010 - 2010 |
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=080.783.1573.10")
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=080.783.1573.10')
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=080.783.1573.10')