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Description
Anticuerpo Monoclonal Anti Melanosoma. Para inmunohistoquímica en tejido fijado en o tejido en fresco. Para técnica manual o automatizada. El usuario determinará estas características de acuerdo a sus necesidades. La clona la determinará el usuario. Prueba RTC
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.3068.00
Presentation
Pieza
Each circle represents one of the 14 purchases of REACTIVOS POR INMUNOHISTOQUIMICA made by the IMSS between 2013 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 4 | 30,293.8 MXN | 44.7 % | 2.27 | 2016 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 4 | 5,244.1 MXN | 12 % | 0.48 | 2013 - 2016 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 3 | - MXN | - | - | 2016 - 2018 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 2 | 8,171.8 MXN | 30.1 % | 0.602 | 2017 - 2018 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 1,016.2 MXN | 3.8 % | 0.076 | 2018 - 2018 |
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=080.070.3068.00")
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=080.070.3068.00')
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=080.070.3068.00')