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Description
ASA PARA SEMBRAR MUESTRAS EN MEDIO DE CULTIVO, PARA ESTUDIOS BACTERIOLOGICOS, DE ALAMBRE NICROMEL, CALIBRADA 1/100 ML, CON MANGO METALICO.
IMSS product code
080.085.0026.10
Each circle represents one of the 4 purchases of ASAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 9,655.2 MXN | 1,331.8 MXN | 16 % | 120.2 | 13 de abril de 2012 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 1,248.5 MXN | 162.9 MXN | 15 % | 12.3 | 6 de abril de 2009 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 219.2 MXN | 30.2 MXN | 16 % | 3.2 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIMICA TECH, S. A. DE C. V. | 2 | 1,331.8 MXN | 16 % | 120.2 | 2011 - 2012 |
| FCD LABS, S.A. DE C.V. | 1 | 30.2 MXN | 16 % | 3.2 | 2010 - 2010 |
| MEDIPREV, S DE RL. DE C.V. | 1 | 162.9 MXN | 15 % | 12.3 | 2009 - 2009 |
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=080.085.0026.10")
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=080.085.0026.10')
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=080.085.0026.10')