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Description
Anticuerpo monoclonal CD 1
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.1203.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 14 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 5 | 37,028.4 MXN | 58.7 % | 6.61 | 2010 - 2014 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 3 | 4,945.5 MXN | 16 % | 0.48 | 2015 - 2016 |
| ABALAT, S.A. DE C.V. | 2 | 1,311.1 MXN | 8 % | 0.32 | 2013 - 2014 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 2 | 4,678.8 MXN | 17 % | 0.339 | 2017 - 2018 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 2,009.5 MXN | 14.1 % | 0.141 | 2018 - 2018 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
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=080.070.1203.00")
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=080.070.1203.00')
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=080.070.1203.00')