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Description
ANTICUERPOS CONTRA FACTOR VIII ANTIGENICO RTC.
IMSS product code
080.070.0437.10
Each circle represents one of the 21 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 14 | 10,993.1 MXN | 10.2 % | 3.44 | 2009 - 2018 |
| CUBILLAS PUNARO MARCO ANTONIO | 3 | 1,738.4 MXN | 11.4 % | 0.684 | 2012 - 2013 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 4,809.8 MXN | 36.1 % | 0.723 | 2018 - 2018 |
| HOUSE MEDICAL CENTER, S. A. DE C. V. | 1 | 19,050 MXN | 33.8 % | 3.38 | 2013 - 2013 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | 3,691.7 MXN | 54.3 % | 1.09 | 2011 - 2011 |
| SILVERA CIENCIA E INGENIERIA, S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.070.0437.10")
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=080.070.0437.10')
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=080.070.0437.10')