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Description
TRIGLICERIDOS POLVO METODOENZIMATICO COLORIMETRICO DEPUNTO FINAL CON LIPASA-GLICEROL-CINASA (TRINDER) ESTABILIDAD MINIMA 14 DIAS DESPUESDE RECONSTITUIR CON AGUA DESTILADA (2 A 8 GRADOS C) RTC.
IMSS product code
080.783.9725.02
Each circle represents one of the 16 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 Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 6 | 275,981.6 MXN | 38,923.5 MXN | 18.9 % | 345.1 | 9 de marzo de 2017 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 4 | 63,650.8 MXN | 8,738.3 MXN | 18.8 % | 214.2 | 29 de julio de 2010 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 3 | 35,401.2 MXN | 4,665.3 MXN | 15.4 % | 110.6 | 15 de marzo de 2011 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 54,147.6 MXN | 4,775.5 MXN | 9.92 % | 118.4 | 31 de marzo de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 1,898.9 MXN | 1,855.6 MXN | 4,284.3 % | 42.8 | 2 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCUTRACK, S. A. DE C. V. | 12 | 22,373.9 MXN | 17.2 % | 540.6 | 2009 - 2011 |
| BIO LEBEN, S.A. DE C.V. | 3 | 34,728.8 MXN | 16 % | 247.7 | 2015 - 2017 |
| DICIPA, S. A. DE C. V. | 1 | 1,855.6 MXN | 4,284.3 % | 42.8 | 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=080.783.9725.02")
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=080.783.9725.02')
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=080.783.9725.02')