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Description
Sistema de Detección de Alta Sensibilidad con Polímeros Conjugados Para inmunohistoquímica en tejido fijado en formol 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
080.070.3332.00
Presentation
Pieza
Each circle represents one of the 32 purchases of REACTIVOS POR INMUNOHISTOQUIMICA made by the IMSS between 2012 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 9 | 745,164.6 MXN | 40.2 % | 15.8 | 2016 - 2019 |
| RAMIREZ ROMERO JESUS ARMANDO | 6 | 806,631.2 MXN | 19.6 % | 18.8 | 2012 - 2017 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 5 | 437,706.6 MXN | 17 % | 9.22 | 2017 - 2019 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 3 | 24,297.4 MXN | 8.88 % | 0.528 | 2016 - 2018 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 3 | - MXN | - | - | 2013 - 2016 |
| GRUPO JIM PERTH, S.A. DE C.V. | 3 | 31,421.5 MXN | 15.2 % | 0.684 | 2018 - 2018 |
| ASESORIA Y PROVEEDORA DE EQUIPOS PARA LABORATORIO, | 1 | - MXN | - | - | 2018 - 2018 |
| CUBILLAS PUNARO MARCO ANTONIO | 1 | - MXN | - | - | 2014 - 2014 |
| TECNOLOGIA INTEGRAL PARA LABORATORIOS, S.A. DE C.V | 1 | - MXN | - | - | 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=080.070.3332.00")
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=080.070.3332.00')
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=080.070.3332.00')