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Description
TUBO DE VIDRIO, CON FONDO CONICO, PARA LA COLECCION DESANGRE EN PRUEBAS DE COAGULACION, EN DOS CAPACIDADES YDOS GRADUACIONES 0.25 A 2.5ML.
IMSS product code
080.909.5284.01
Each circle represents one of the 8 purchases of TUBOS made by the IMSS between 2009 and 2011.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 3 | 18,063.2 MXN | 22 % | 503.3 | 2009 - 2010 |
| ALDACO MEDICAL INSTRUMENTS, S.A. DE C.V. | 1 | 4,492.9 MXN | 16 % | 89.4 | 2011 - 2011 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| DISTRIBUIDORA SEVI, S.A. DE C.V. | 1 | 10,468.3 MXN | 16 % | 208.2 | 2011 - 2011 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | 2,553.8 MXN | 54 % | 84.2 | 2009 - 2009 |
| SISTEMAS E INST. P/ LABORATORIO Y HOSPITAL. SA DE | 1 | 181.8 MXN | 16 % | 3.2 | 2011 - 2011 |
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=080.909.5284.01")
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=080.909.5284.01')
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=080.909.5284.01')