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Description
ROJO NUCLEAR RAPIDO COLORAN-TE BIOLOGICO TA.
IMSS product code
080.829.1082.10
Each circle represents one of the 30 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. | 15 | 64,086.3 MXN | 16.5 % | 18.2 | 2009 - 2012 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 3 | 5,415.8 MXN | 14.4 % | 1.38 | 2010 - 2010 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | - MXN | - | - | 2010 - 2010 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 1 | 25,330.2 MXN | 53.6 % | 6.44 | 2010 - 2010 |
| COMERCIALIZADORA MEDICA DE AGUASCALIENTES, S.A. DE | 1 | 2,598 MXN | 66 % | 0.66 | 2010 - 2010 |
| DACEGA CORPORATION, SA DE CV | 1 | 3,603.3 MXN | 91.6 % | 0.916 | 2010 - 2010 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 642.3 MXN | 8.48 % | 0.17 | 2009 - 2009 |
| FCD LABS, S.A. DE C.V. | 1 | 1,440 MXN | 16 % | 0.32 | 2014 - 2014 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 2,087.3 MXN | 18.4 % | 0.551 | 2009 - 2009 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 1 | 11,520 MXN | 16 % | 1.92 | 2017 - 2017 |
| QUIMICA DEPOT DE MEXICO, S.A. DE C.V. | 1 | 1,037.9 MXN | 16 % | 0.16 | 2018 - 2018 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 18,051.1 MXN | 58.7 % | 5.87 | 2011 - 2011 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 1 | 276.3 MXN | 1.4 % | 0.0702 | 2010 - 2010 |
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=080.829.1082.10")
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=080.829.1082.10')
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=080.829.1082.10')