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Description
ACIDO CROMICO RA CRISTALES -TA.
IMSS product code
080.830.3481.10
Each circle represents one of the 33 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 8 | 4,534 MXN | 75.6 % | 10 | 2009 - 2018 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 4 | 330.1 MXN | 19.5 % | 0.78 | 2009 - 2012 |
| FCD LABS, S.A. DE C.V. | 3 | 931.4 MXN | 5.46 % | 1.94 | 2012 - 2014 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 3 | 679.3 MXN | 16.6 % | 1.86 | 2015 - 2016 |
| CASLAB DE MEXICO, S. A. DE C. V. | 2 | 1,798.5 MXN | 8.73 % | 3.66 | 2017 - 2018 |
| EIBL LABORATORIES, S.A. DE C.V. | 2 | 166.9 MXN | 11.6 % | 0.233 | 2010 - 2013 |
| IMPULSORA MEDICA, S. A. DE C. V. | 2 | 133.2 MXN | 14.9 % | 0.299 | 2010 - 2011 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 1,238.6 MXN | 384.5 % | 3.84 | 2015 - 2015 |
| CODEMED, S.A. DE C.V. | 1 | 169.5 MXN | 28.6 % | 0.286 | 2018 - 2018 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 1 | 351.4 MXN | 16 % | 1.92 | 2019 - 2019 |
| DISTRIBUCIONES MED. ESPE. GAMAVIK, S.A. DE C.V. | 1 | 257.7 MXN | 47.5 % | 0.475 | 2014 - 2014 |
| DISTRIBUIDORA ESPEC. DE MEDICAMENTOS KM, SA DE CV | 1 | 5,415.5 MXN | 16.8 % | 7.55 | 2013 - 2013 |
| GUTIERREZ CASTA?EDA FERNANDO | 1 | 180.4 MXN | 20.6 % | 0.411 | 2011 - 2011 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 115.5 MXN | 11.2 % | 0.224 | 2010 - 2010 |
| ODICALP, S.A. DE C.V. | 1 | 410.3 MXN | 86.6 % | 0.866 | 2017 - 2017 |
| QUIMICA DEPOT DE MEXICO, S.A. DE C.V. | 1 | 51.6 MXN | 8.69 % | 0.0869 | 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=080.830.3481.10")
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=080.830.3481.10')
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=080.830.3481.10')