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Description
TRIGLICERIDOS POLVO METODO -ENZIMATICO COLORIMETRICO DEPUNTO FINAL CON LIPASA-GLICEROL-CINASA Y FORMAZAN (INT)ESTABILIDAD MINIMA 5 DIASDESPUES DE RECONSTITUIR CONAGUA DESTILADA (2 A 8 GRADOSC) RTC.
IMSS product code
080.783.3538.01
Each circle represents one of the 49 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2016.
| 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 | 17 | 281,676.2 MXN | 99,419.4 MXN | 224.8 % | 1,045.1 | 30 de junio de 2016 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 17 | 329,274.4 MXN | 25,543.3 MXN | 1,435.6 % | 362.3 | 7 de octubre de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 7 | 360,292 MXN | 12,663.6 MXN | 2.75 % | 87.2 | 22 de abril de 2016 |
| Delegación Chihuahua | Chihuahua | 3 | 11,201 MXN | 10,592 MXN | 1,851.2 % | 160 | 4 de diciembre de 2009 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 116,552.4 MXN | 80,995 MXN | 310.4 % | 751.4 | 20 de marzo de 2013 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 8,740 MXN | 3,444.1 MXN | 65 % | 52 | 1 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VALENCIA DURAN MARIA ESTER | 9 | 18,946.1 MXN | 2,114.2 % | 261.1 | 2009 - 2015 |
| ACCUTRACK, S. A. DE C. V. | 8 | 3,101.3 MXN | 1.27 % | 47.6 | 2009 - 2011 |
| SANCHEZ VALDEZ JUANA MARIA | 8 | 81,662.7 MXN | 320.9 % | 907.8 | 2009 - 2014 |
| BIO LEBEN, S.A. DE C.V. | 4 | 12,663.6 MXN | 4.82 % | 87.2 | 2013 - 2016 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 4 | 889.3 MXN | 3.23 % | 13.4 | 2009 - 2010 |
| MARCO ANTONIO IBARRA RAMIREZ | 3 | 11,693.3 MXN | 76.5 % | 71.2 | 2016 - 2016 |
| DICIPA, S. A. DE C. V. | 2 | 3,057.5 MXN | 85 % | 20.4 | 2011 - 2012 |
| FCD LABS, S.A. DE C.V. | 2 | 3,444.1 MXN | 65 % | 52 | 2009 - 2009 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 2 | 6,319.5 MXN | 2,075.3 % | 95.5 | 2009 - 2009 |
| COMERCIALIZADORA CRIS-LAB, S.A. DE C.V. | 1 | 1,138.2 MXN | 349.5 % | 17.5 | 2010 - 2010 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 1 | 4,272.5 MXN | 1,403 % | 64.5 | 2009 - 2009 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 978.4 MXN | 492.6 % | 14.8 | 2009 - 2009 |
| FIGUEROA VARGAS PABLO | 1 | 73,185.6 MXN | 865.6 % | 692.5 | 2011 - 2011 |
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 1 | 2,285 MXN | 3,508.5 % | 35.1 | 2010 - 2010 |
| LABOTEKNIKA DEL CENTRO, S.A. DE C.V. | 1 | 7,809.4 MXN | 65.5 % | 59 | 2013 - 2013 |
| OCM INSTRUMENTOS Y REACTIVOS, S.A. DE C.V. | 1 | 1,210.9 MXN | 1,859.2 % | 18.6 | 2010 - 2010 |
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=080.783.3538.01")
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=080.783.3538.01')
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=080.783.3538.01')