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Description
PACK 7 PARA SER UTILIZADO EN EQUIPO GASOMETRO GEM PREMIER
Classification
Material médico. Material de laboratorio
IMSS product code
080.784.2950.00
Presentation
CARTUCHO PARA 300 PRUEBAS.
Each circle represents one of the 55 purchases of JUEGO DE REACTIVOS made by the IMSS between 2009 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| I.L. DIAGNOSTICS, S. A. DE C. V. | 41 | 1.4 millones MXN | 21.7 % | 64.8 | 2009 - 2017 |
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 9 | 670,882.9 MXN | 5.51 % | 38.4 | 2009 - 2017 |
| SELECCIONES MEDICAS, S. A. DE C. V. | 4 | 18,400.6 MXN | 3.98 % | 1.07 | 2009 - 2010 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | - MXN | - | - | 2017 - 2017 |
Entity type
Material de laboratorio
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=080.784.2950.00")
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=080.784.2950.00')
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=080.784.2950.00')