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Description
ACETONA TECNICO TA.
IMSS product code
080.830.3234.10
Each circle represents one of the 101 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2008 and 2016.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SEALAB, S.A. DE C.V. | 28 | 18,656.4 MXN | 23.2 % | 437.3 | 2009 - 2011 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 12 | 1,977.4 MXN | 26.3 % | 44.8 | 2009 - 2011 |
| EIBL LABORATORIES, S.A. DE C.V. | 11 | 445 MXN | 0.151 % | 9.96 | 2008 - 2011 |
| DIREBIO, S. A. DE C. V. | 4 | 138.9 MXN | 47.1 % | 3.1 | 2009 - 2010 |
| DISTRIBUCION Y MANTENIMIENTO DEL NOROESTE SA DE CV | 4 | 519.1 MXN | 76.6 % | 11.5 | 2009 - 2010 |
| FCD LABS, S.A. DE C.V. | 4 | 744.2 MXN | 105.2 % | 16.5 | 2009 - 2010 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 4 | 1,157.5 MXN | 3.33 % | 25.8 | 2009 - 2010 |
| TECSIQUIM, S.A. DE C.V. | 4 | - MXN | - | - | 2010 - 2011 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 3 | 3,119 MXN | 38.6 % | 79.7 | 2011 - 2011 |
| COMERCIAL VIA MEDICA, S.A. DE C.V. | 2 | 704.5 MXN | 11.7 % | 15.7 | 2009 - 2010 |
| COMERCIALIZADORA SEDARI, SA DE CV | 2 | 741.4 MXN | 20.7 % | 16.6 | 2010 - 2010 |
| GUTIERREZ CASTA?EDA FERNANDO | 2 | 311.1 MXN | 20 % | 7.95 | 2011 - 2011 |
| IMPULSORA MEDICA, S. A. DE C. V. | 2 | 231.6 MXN | 11.5 % | 5.18 | 2010 - 2010 |
| TOY TAVARES WILLIAMS | 2 | 86.5 MXN | 96.8 % | 1.94 | 2010 - 2010 |
| BIO LEBEN, S.A. DE C.V. | 1 | 65.4 MXN | 20.9 % | 1.67 | 2011 - 2011 |
| COMERCIALIZADORA MAPY, S.A. | 1 | 107.3 MXN | 137 % | 2.74 | 2011 - 2011 |
| CORREA ARTEAGA MARIA | 1 | 338.2 MXN | 650.6 % | 7.48 | 2009 - 2009 |
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | 362 MXN | 696.4 % | 8.01 | 2009 - 2009 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 4,542 MXN | 84.7 % | 101.7 | 2010 - 2010 |
| DISTRIBUCIONES MED. ESPE. GAMAVIK, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| DISTRIBUIDORA INTER. DE MEDS. Y EQ. MEDICO, SA CV | 1 | 59.2 MXN | 10.8 % | 1.51 | 2011 - 2011 |
| EL PROVEEDOR DEL MEDICO, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| ESCAMILLA ZENTENO AURORA | 1 | 2,062.2 MXN | 11.7 % | 46.2 | 2010 - 2010 |
| EXE CORPORATIVO SA DE CV | 1 | 464.3 MXN | 207.9 % | 10.4 | 2010 - 2010 |
| LABORATORIOS AULIS, S. A. DE C. V. | 1 | 46.3 MXN | 10.4 % | 1.04 | 2010 - 2010 |
| METRIX LABORATORIOS, S.A. DE C.V. | 1 | 203.8 MXN | 50.1 % | 4.51 | 2009 - 2009 |
| ODICALP, S.A. DE C.V. | 1 | 21.1 MXN | 16 % | 0.16 | 2016 - 2016 |
| PINA CAMPOS MARIA DE LOS ANGELES | 1 | 155 MXN | 171.5 % | 3.43 | 2009 - 2009 |
| PUBLISALUD, S. A. DE C. V. | 1 | 2,707.2 MXN | 39.9 % | 59.9 | 2009 - 2009 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 350.5 MXN | 17.2 % | 7.75 | 2009 - 2009 |
| VILLANUEVA MORENO MA. DEL CARMEN | 1 | 64.2 MXN | 123.9 % | 1.44 | 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=080.830.3234.10")
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=080.830.3234.10')
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=080.830.3234.10')