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Description
Blando para moldear a fuego de vidrio de 120 cm de longitud y pared de 1 mm de espesor con diámetros de: 6 mm
Classification
Material médico. Material de laboratorio
IMSS product code
080.909.1937.00
Presentation
Pieza
Each circle represents one of the 3 purchases of TUBOS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 2 | 255.7 MXN | 30.9 MXN | 8 % | 0.48 | 16 de febrero de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 335.3 MXN | 143.7 MXN | 75 % | 4.5 | 6 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 30.9 MXN | 16 % | 0.48 | 2010 - 2010 |
| EIBL LABORATORIES, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| MEDIPREV, S DE RL. DE C.V. | 1 | 143.7 MXN | 75 % | 4.5 | 2009 - 2009 |
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=080.909.1937.00")
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=080.909.1937.00')
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=080.909.1937.00')