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Description
MEDIO DE GLUCOSA PARA DIFE--RENCIAR EL METABOLISMO OXIDATIVO DEL FERMENTATIVO DE BACTERIAS GRAM NEGATIVAS, AMPU-LA RTC.
IMSS product code
080.610.0590.10
Each circle represents one of the 1 purchases of MEDIOS DE CULTIVO MEDIOS ESPECIALES made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 890.9 MXN | 122.9 MXN | 16 % | 0.96 | 21 de mayo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA MEDICA DE AGUASCALIENTES, S.A. DE | 1 | 122.9 MXN | 16 % | 0.96 | 2013 - 2013 |
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=080.610.0590.10")
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=080.610.0590.10')
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=080.610.0590.10')