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Description
TUBO CONICO DE POLIPROPILENO15 ML.
IMSS product code
080.909.1556.10
Each circle represents one of the 73 purchases of TUBOS 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. | 11 | 72,119.2 MXN | 114 % | 9,918.6 | 2009 - 2014 |
| COMERCIALIZADORA MEDICA DE AGUASCALIENTES, S.A. DE | 4 | 27,233.6 MXN | 45.5 % | 5,985.2 | 2010 - 2012 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 4 | 2,117.9 MXN | 4 % | 498.3 | 2010 - 2012 |
| ACCESORIOS PARA LABORATORIOS, S.A. DE C.V. | 3 | 1,516.5 MXN | 5,592.5 % | 167.8 | 2009 - 2011 |
| CAMARENA MARTINEZ MARIA CRUZ | 3 | - MXN | - | - | 2010 - 2011 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 3 | 3,237.1 MXN | 1,341.2 % | 1,046.1 | 2010 - 2014 |
| GARPI, S.A. DE C.V. | 3 | 69,975.5 MXN | 32.8 % | 34,332.8 | 2016 - 2017 |
| GRUPO BIOMYRE SC | 3 | 2,233.7 MXN | 143.3 % | 578.5 | 2013 - 2018 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 3 | 8,489.1 MXN | 45.6 % | 3,221.7 | 2016 - 2016 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 2 | 11,167 MXN | 134.6 % | 3,458.9 | 2012 - 2016 |
| CIENTIFICA Y SALUD S.A. DE C.V. | 2 | 51,826.2 MXN | 22.4 % | 16,748.5 | 2013 - 2014 |
| CLINIBAC, S DE R.L. DE C.V. | 2 | - MXN | - | - | 2011 - 2012 |
| JUAREZ GONZALEZ AMADA | 2 | 6,577.8 MXN | 1,652.6 % | 1,421.3 | 2012 - 2012 |
| TECNOLOGIA CROMATOGRAFICA, S.A. DE C.V. | 2 | - MXN | - | - | 2013 - 2013 |
| BIOS-SISTEMAS PARA LA VIDA S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| CASLAB DE MEXICO, S. A. DE C. V. | 1 | 1,038.1 MXN | 169.8 % | 509.3 | 2017 - 2017 |
| CODEMED, S.A. DE C.V. | 1 | - MXN | - | - | 2017 - 2017 |
| COMERCIALIZADORA GAYDI, S.A. DE C.V. | 1 | 1,901 MXN | 453.7 % | 453.7 | 2010 - 2010 |
| COMERCIALIZADORA RIHE SA DE CV | 1 | 11,778.7 MXN | 2,840.7 % | 1,988.5 | 2009 - 2009 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | 14,135.4 MXN | 16 % | 6,929.1 | 2019 - 2019 |
| DIAGNOSTICA NUEVA ACCION, S. A. DE C. V. | 1 | 2,009.3 MXN | 43.2 % | 479.6 | 2010 - 2010 |
| DISTRIBUCIONES MEDICAS R Y G SA DE CV | 1 | 1,664.2 MXN | 666.3 % | 333.2 | 2013 - 2013 |
| DISTRIBUIDORA MEDICA INTEGRAL TIMED S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| DURFA, S. A. DE C. V. | 1 | 2,010.6 MXN | 310.3 % | 434.4 | 2012 - 2012 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| EL CRISOL S.A. DE C.V | 1 | 17,459.3 MXN | 75.4 % | 3,772.4 | 2012 - 2012 |
| EQUIPOS Y BOMBAS INDUSTRIALES DE BAJA, S.A. DE C.V | 1 | - MXN | - | - | 2010 - 2010 |
| FARMACOS DAROVI SA DE CV | 1 | 83.3 MXN | 42.1 % | 26.9 | 2014 - 2014 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 92,421 MXN | 264.4 % | 27,106.5 | 2018 - 2018 |
| GRUPO MEDIZZIN, S. A. DE C. V. | 1 | 23,178.2 MXN | 256,435.9 % | 2,564.4 | 2011 - 2011 |
| GRUPO PHARMA DE BAJA CALIFORNIA S DE R.L. DE C.V. | 1 | 23,224.7 MXN | 30 % | 4,649.5 | 2013 - 2013 |
| MEDIPREV, S DE RL. DE C.V. | 1 | 33,194.1 MXN | 13.2 % | 5,603.8 | 2009 - 2009 |
| METRIX LABORATORIOS, S.A. DE C.V. | 1 | 15,740.2 MXN | 16 % | 9,098.4 | 2014 - 2014 |
| QUIMICA ACCREVI, S. A. DE C. V. | 1 | 1,760.1 MXN | 16.3 % | 420.1 | 2010 - 2010 |
| QUIMICA DE AGUASCALIENTES, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| QUIMICA INDUSTRIAL Y ANALITICA S.A DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| RALEGO EQUIPO MEDICO Y REACTIVOS S. DE R.L. DE C.V | 1 | 4,294.8 MXN | 15.7 % | 1,259.6 | 2018 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 3,365.6 MXN | 33,688.9 % | 673.8 | 2013 - 2013 |
| S&M DISTRIBUTION, S. DE R.L. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| ZAVALA ACU?A CRISTY PAULINA | 1 | 290.3 MXN | 250.9 % | 62.7 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
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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=080.909.1556.10")
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=080.909.1556.10')
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=080.909.1556.10')