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Description
SF, CALDO SELECTIVO PARA - -STREPTOCOCCUS FECALIS TA.
IMSS product code
080.610.2430.02
Each circle represents one of the 10 purchases of MEDIOS DE CULTIVO CALDOS made by the IMSS between 2009 and 2016.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 5 | 46,130.2 MXN | 24 % | 6.8 | 2010 - 2011 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 2 | 6,802.1 MXN | 188.6 % | 9.35 | 2009 - 2010 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | 8,708 MXN | 10.3 % | 1.23 | 2013 - 2013 |
| ODICALP, S.A. DE C.V. | 1 | 11,078.3 MXN | 16 % | 1.28 | 2016 - 2016 |
| PROVEEDORA MEX. DE ARTS. DE CUR. Y LAB, SA CV | 1 | 5,963.3 MXN | 84.5 % | 0.845 | 2013 - 2013 |
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=080.610.2430.02")
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=080.610.2430.02')
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=080.610.2430.02')