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Description
LISOZIMA (AC PRIMARIO) RTC.
IMSS product code
080.074.1167.10
Each circle represents one of the 29 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. | 10 | 19,344.3 MXN | 24.1 % | 5.03 | 2010 - 2016 |
| RAMIREZ ROMERO JESUS ARMANDO | 5 | 14,611 MXN | 59.2 % | 4.22 | 2009 - 2011 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 4 | - MXN | - | - | 2009 - 2012 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 3 | 2,600.6 MXN | 10.7 % | 0.64 | 2012 - 2016 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 2 | 3,028.3 MXN | 51.1 % | 1.02 | 2010 - 2010 |
| COMERCIALIZADORA JOMAYER, S.A. DE C.V. | 2 | 9,352.3 MXN | 117.9 % | 2.36 | 2009 - 2009 |
| GRUPO JIM PERTH, S.A. DE C.V. | 2 | 2,044.5 MXN | 11.4 % | 0.456 | 2018 - 2018 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 1,541.3 MXN | 34.4 % | 0.344 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
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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=080.074.1167.10")
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=080.074.1167.10')
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=080.074.1167.10')