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Description
ACIDO SULFURICO (96 A 98%) -RA (ACS) TA.
IMSS product code
080.830.4299.01
Each circle represents one of the 53 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2008 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 12 | 2,685.8 MXN | 17.7 % | 23 | 2011 - 2014 |
| EIBL LABORATORIES, S.A. DE C.V. | 7 | 1,231.7 MXN | 12.7 % | 13.6 | 2008 - 2012 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 7 | 381.1 MXN | 4.74 % | 3.4 | 2015 - 2016 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 6 | 922.7 MXN | 15.3 % | 10 | 2009 - 2016 |
| CASLAB DE MEXICO, S. A. DE C. V. | 4 | 1,242.1 MXN | 7.74 % | 8.64 | 2017 - 2018 |
| FCD LABS, S.A. DE C.V. | 4 | 2,211.6 MXN | 13.4 % | 17.1 | 2012 - 2015 |
| IMPULSORA MEDICA, S. A. DE C. V. | 2 | 473 MXN | 40.5 % | 5.66 | 2010 - 2011 |
| ODICALP, S.A. DE C.V. | 2 | 1,058.7 MXN | 83 % | 8.3 | 2017 - 2018 |
| SEALAB, S.A. DE C.V. | 2 | 812.1 MXN | 17.9 % | 10.6 | 2010 - 2010 |
| ABALAT, S.A. DE C.V. | 1 | 187 MXN | 31 % | 1.55 | 2014 - 2014 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 905.4 MXN | 173.6 % | 8.68 | 2015 - 2015 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | 249.8 MXN | 17.3 % | 2.07 | 2014 - 2014 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 1 | 1,005 MXN | 40.2 % | 9.64 | 2015 - 2015 |
| DISTRIBUIDORA MEDICA ORION, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| GUTIERREZ CASTA?EDA FERNANDO | 1 | 38.7 MXN | 13.3 % | 0.398 | 2011 - 2011 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 522.4 MXN | 88.1 % | 8.81 | 2009 - 2009 |
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=080.830.4299.01")
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=080.830.4299.01')
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=080.830.4299.01')