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Description
Anticuerpo monoclonal CD 33
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.1286.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 8 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 4 | 84,867.8 MXN | 16,308.5 MXN | 11.5 % | 2.9 | 13 de junio de 2013 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 3 | 51,151.9 MXN | 7,990.6 MXN | 21.8 % | 2.12 | 27 de enero de 2011 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 41,502 MXN | 5,724.4 MXN | 16 % | 0.32 | 15 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABALAT, S.A. DE C.V. | 2 | 4,670.4 MXN | 16 % | 1.12 | 2011 - 2013 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2010 |
| RAMIREZ ROMERO JESUS ARMANDO | 2 | 5,575.9 MXN | 24.6 % | 1.48 | 2009 - 2010 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 14,052.8 MXN | 30.2 % | 2.42 | 2009 - 2009 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 5,724.4 MXN | 16 % | 0.32 | 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=080.070.1286.00")
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=080.070.1286.00')
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=080.070.1286.00')