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Description
ANTIGENO RELACIONADO AL FACTOR VIII RTC.
IMSS product code
080.074.1084.01
Each circle represents one of the 22 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2008 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 6 | 12,901.5 MXN | 31.7 % | 4.82 | 2009 - 2016 |
| RAMIREZ ROMERO JESUS ARMANDO | 6 | 12,431.5 MXN | 44.7 % | 3.29 | 2008 - 2014 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 598.4 MXN | 3.2 % | 0.32 | 2012 - 2018 |
| GRUPO JIM PERTH, S.A. DE C.V. | 2 | 21,981.6 MXN | 57.9 % | 5.3 | 2014 - 2018 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 1 | 5,243.6 MXN | 89.4 % | 1.79 | 2010 - 2010 |
| CUBILLAS PUNARO MARCO ANTONIO | 1 | 444 MXN | 16 % | 0.16 | 2012 - 2012 |
| DIREBIO, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.074.1084.01")
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=080.074.1084.01')
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=080.074.1084.01')