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Description
AGAR PARA ANAEROBIOS TA.
IMSS product code
080.610.0707.01
Each circle represents one of the 20 purchases of MEDIOS DE CULTIVO AGAR made by the IMSS between 2009 and 2014.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 9 | 10,343.3 MXN | 29.4 % | 11 | 2009 - 2012 |
| Q.M.H. ABASTECEDORES, S. A. DE C. V. | 4 | 8,983 MXN | 25.3 % | 11 | 2010 - 2010 |
| DIREBIO, S. A. DE C. V. | 2 | - MXN | - | - | 2010 - 2010 |
| ABALAT, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 1 | 4,683.5 MXN | 39 % | 4.69 | 2009 - 2009 |
| METRIX LABORATORIOS, S.A. DE C.V. | 1 | 142.5 MXN | 16 % | 0.16 | 2013 - 2013 |
| PROMELAB DE YUCATAN SA DE CV | 1 | 288 MXN | 8.78 % | 0.351 | 2010 - 2010 |
| QUIMICA TECH, S. A. DE C. V. | 1 | 4,488 MXN | 16 % | 1.76 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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=080.610.0707.01")
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=080.610.0707.01')
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=080.610.0707.01')