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Description
CLORURO DE ALUMINIO ANHIDROSUBLIMADO PARA SINTESIS POLVO TA.
IMSS product code
080.830.0511.10
Each circle represents one of the 5 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 5 | 1,376.7 MXN | 187.1 MXN | 15.8 % | 0.95 | 26 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 2 | 86.7 MXN | 15.5 % | 0.31 | 2009 - 2010 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 53.9 MXN | 16 % | 0.32 | 2016 - 2016 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 21.6 MXN | 16 % | 0.16 | 2012 - 2012 |
| ODICALP, S.A. DE C.V. | 1 | 25 MXN | 16 % | 0.16 | 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=080.830.0511.10")
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=080.830.0511.10')
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=080.830.0511.10')