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Description
ANTICUERPO CONTRA RECEPTORES DE ESTROGENOS. PARA MINIMO 20 PRUEBAS. RTC.
IMSS product code
080.070.0205.11
Each circle represents one of the 42 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2011 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO JIM PERTH, S.A. DE C.V. | 11 | 336,078.1 MXN | 65.3 % | 34.3 | 2014 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 11 | 59,925.1 MXN | 26.5 % | 7.69 | 2011 - 2015 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 6 | - MXN | - | - | 2012 - 2018 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 4 | 7,505 MXN | 7.71 % | 0.865 | 2012 - 2017 |
| TECNOLOGIA INTEGRAL PARA LABORATORIOS, S.A. DE C.V | 4 | 25,045.8 MXN | 6.41 % | 3.25 | 2015 - 2018 |
| CUBILLAS PUNARO MARCO ANTONIO | 3 | 24,394.7 MXN | 140.8 % | 4.22 | 2012 - 2015 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 2 | 22,414.3 MXN | 117.6 % | 2.89 | 2016 - 2016 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 26,267.3 MXN | 129.3 % | 2.59 | 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=080.070.0205.11")
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=080.070.0205.11')
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=080.070.0205.11')