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Description
Para la toma y recolección de sangre. De vidrio al vacío (13 x 75 mm) desechable para adulto con EDTA tripotásico (0.048 ml) líquido tapón lila con silicón como lubricante volumen de drenado 4.8-4.9 ml (± 0.3 ml) el rango menor establece el volumen de drenado a la altura del altiplano mexicano y el rango mayor al nivel del mar. Etiquetados individualmente con número de lote y fecha de caducidad. Con o sin tapón de seguridad
Classification
Material médico. Material de laboratorio
IMSS product code
080.909.0137.00
Presentation
Caja con 100
Each circle represents one of the 2 purchases of TUBOS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 2 | 357.9 MXN | - MXN | - | - | 3 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOSTICA NUEVA ACCION, S. A. DE C. V. | 2 | - MXN | - | - | 2010 - 2010 |
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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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=080.909.0137.00")
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=080.909.0137.00')
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=080.909.0137.00')