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Description
VERDE LUZ (VERDE RAPIDO) FCFQ.P. POLVO TA.
IMSS product code
080.830.9660.10
Each circle represents one of the 26 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 | 6,520.5 MXN | 16.5 % | 5.03 | 2009 - 2013 |
| EIBL LABORATORIES, S.A. DE C.V. | 3 | 110.5 MXN | 4.24 % | 0.127 | 2009 - 2011 |
| FCD LABS, S.A. DE C.V. | 2 | 5,595 MXN | 20.1 % | 2.63 | 2013 - 2014 |
| IMPULSORA MEDICA, S. A. DE C. V. | 2 | 3,256.9 MXN | 64.8 % | 2 | 2010 - 2011 |
| BIO LEBEN, S.A. DE C.V. | 1 | 1,556.6 MXN | 16.8 % | 0.842 | 2011 - 2011 |
| CIENTIFICA Y SALUD S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| CODEMED, S.A. DE C.V. | 1 | 208.7 MXN | 5.97 % | 0.0597 | 2018 - 2018 |
| COMERCIALIZADORA Y DISTRIBUIDORA AX-LEX, S.A. DE C | 1 | 1,470.6 MXN | 21 % | 0.42 | 2018 - 2018 |
| DACEGA CORPORATION, SA DE CV | 1 | 1,654 MXN | 103.2 % | 1.03 | 2010 - 2010 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 1,108.2 MXN | 69.1 % | 0.691 | 2010 - 2010 |
| GENESIS HEALTHCARE ADVISERS, S. A. DE C. V. | 1 | 5,408.6 MXN | 28.1 % | 3.37 | 2010 - 2010 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 1 | 3,141.7 MXN | 16.8 % | 1.85 | 2011 - 2011 |
| ODICALP, S.A. DE C.V. | 1 | 592.4 MXN | 16 % | 0.16 | 2017 - 2017 |
| QUIMICA ACCREVI, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| REPRESENTACIONES MEDICAS Y DE LABORATORIOS DE GUAD | 1 | 1,176 MXN | 16 % | 0.48 | 2015 - 2015 |
| SOLUCIONES INTEGRALES MEDICAS, SA DE CV | 1 | 2,549.8 MXN | 16 % | 0.32 | 2016 - 2016 |
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=080.830.9660.10")
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=080.830.9660.10')
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=080.830.9660.10')