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Description
AZUL LUXOL RAPIDO (LUXOL - -FAST BLUE) POLVO TA.
IMSS product code
080.829.0498.01
Each circle represents one of the 36 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 7 | 2,566.4 MXN | 28.9 % | 6.17 | 2009 - 2013 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 7 | 224.8 MXN | 4.85 % | 0.572 | 2010 - 2011 |
| IMPULSORA MEDICA, S. A. DE C. V. | 4 | 246.2 MXN | 4.2 % | 0.566 | 2009 - 2010 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 3 | 417.4 MXN | 31.4 % | 0.942 | 2011 - 2018 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 1,700.4 MXN | 190.3 % | 3.81 | 2010 - 2010 |
| FCD LABS, S.A. DE C.V. | 2 | - MXN | - | - | 2013 - 2014 |
| ODICALP, S.A. DE C.V. | 2 | 191.8 MXN | 16 % | 0.32 | 2015 - 2017 |
| QUIMICA TECH, S. A. DE C. V. | 2 | 395.7 MXN | 46 % | 0.92 | 2011 - 2014 |
| CASLAB DE MEXICO, S. A. DE C. V. | 1 | 905.2 MXN | 15.4 % | 1.84 | 2018 - 2018 |
| CODEMED, S.A. DE C.V. | 1 | 228.2 MXN | 23.3 % | 0.465 | 2018 - 2018 |
| DISTRIBUCIONES MEDICAS R Y G SA DE CV | 1 | 268.2 MXN | 61 % | 0.61 | 2013 - 2013 |
| DISTRIBUIDORA DIEVSA SA DE CV | 1 | 728.3 MXN | 178.3 % | 1.78 | 2012 - 2012 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | 172.4 MXN | 38.6 % | 0.386 | 2010 - 2010 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 226.5 MXN | 14.4 % | 0.578 | 2009 - 2009 |
| QUIMICA DEPOT DE MEXICO, S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
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=080.829.0498.01")
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=080.829.0498.01')
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=080.829.0498.01')