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Description
COLESTEROL POLVO METODO ENZIMATICO COLORIMETRICO DE PUNTO FINAL CON ESTERASA-OXIDASA (TRINDER) ESTABILIDAD MINIMA 30 DIAS DESPUES DE RECONSTITUIR CON AGUA DESTILA-DA RTC.
IMSS product code
080.783.3165.02
Each circle represents one of the 54 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 18 | 174,743.6 MXN | 78,791.3 MXN | 176.4 % | 854.3 | 24 de mayo de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 10 | 558,761.2 MXN | 54,239.3 MXN | 521.3 % | 558.5 | 9 de marzo de 2017 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 9 | 221,600.9 MXN | 12,100.2 MXN | 1,224.3 % | 221.6 | 22 de diciembre de 2010 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 4 | 46,084.1 MXN | 3,371.8 MXN | 11.2 % | 64.7 | 26 de febrero de 2011 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 45,895.1 MXN | 5,075.4 MXN | 10.5 % | 50.3 | 20 de marzo de 2013 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 3 | 34,156.9 MXN | 890 MXN | 3.91 % | 17.1 | 5 de abril de 2011 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 19,780 MXN | 15,326 MXN | 344.1 % | 275.3 | 1 de diciembre de 2009 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 22,136.4 MXN | 87.7 MXN | 0.606 % | 1.58 | 1 de enero de 2010 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 2,610 MXN | 2,323.4 MXN | 810.6 % | 40.5 | 21 de septiembre de 2010 |
| Delegación Chihuahua | Chihuahua | 1 | 4,577 MXN | 4,320.9 MXN | 1,687.2 % | 77.6 | 4 de diciembre de 2009 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 2,251.6 MXN | 2,194.2 MXN | 3,827.9 % | 38.3 | 2 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCUTRACK, S. A. DE C. V. | 17 | 14,901 MXN | 4.71 % | 286.4 | 2009 - 2011 |
| SANCHEZ VALDEZ JUANA MARIA | 8 | 50,015.4 MXN | 214.9 % | 513.8 | 2009 - 2014 |
| BIO LEBEN, S.A. DE C.V. | 5 | 42,664.2 MXN | 10.2 % | 346.8 | 2013 - 2017 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 3 | 231.3 MXN | 7.29 % | 4.15 | 2009 - 2009 |
| DICIPA, S. A. DE C. V. | 3 | 12,007 MXN | 1,467 % | 103.9 | 2010 - 2012 |
| VALENCIA DURAN MARIA ESTER | 3 | 4,488.9 MXN | 2,610.3 % | 78.3 | 2010 - 2010 |
| COMERCIALIZADORA CRIS-LAB, S.A. DE C.V. | 2 | 1,282.3 MXN | 242.3 % | 22.7 | 2009 - 2010 |
| FCD LABS, S.A. DE C.V. | 2 | 15,326 MXN | 344.1 % | 275.3 | 2009 - 2009 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 2 | 5,895.5 MXN | 2,571.2 % | 102.8 | 2010 - 2010 |
| MARCO ANTONIO IBARRA RAMIREZ | 2 | 6,039.2 MXN | 78.2 % | 46.9 | 2016 - 2016 |
| C. C. DIAGNOSTICOS SA DE CV | 1 | - MXN | - | - | 2009 - 2009 |
| CORPORACION ANALITICA, S. A. DE C. V. | 1 | 3,140.4 MXN | 22.9 % | 60.5 | 2011 - 2011 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 1 | 4,320.9 MXN | 1,687.2 % | 77.6 | 2009 - 2009 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 10,406.3 MXN | 216.1 % | 181.5 | 2010 - 2010 |
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 1 | 1,821.9 MXN | 3,178.3 % | 31.8 | 2010 - 2010 |
| LABOTEKNIKA DEL CENTRO, S.A. DE C.V. | 1 | 3,856.3 MXN | 19.9 % | 26.8 | 2013 - 2013 |
| TOY TAVARES WILLIAMS | 1 | 2,323.4 MXN | 810.6 % | 40.5 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=080.783.3165.02")
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=080.783.3165.02')
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=080.783.3165.02')