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Description
ASA PARA SEMBRAR MUESTRAS EN MEDIO DE CULTIVO, PARA ESTUDIOS BACTERIOLOGICOS, DE ALAMBRE NICROMEL, CALIBRADA 1/1000 ML, CON MANGO METALICO.
IMSS product code
080.085.0034.10
Each circle represents one of the 5 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 | 6,517.9 MXN | 876.4 MXN | 15.4 % | 78.7 | 13 de abril de 2012 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 2 | 3,245.7 MXN | 470.3 MXN | 16.8 % | 44.5 | 1 de enero de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 28.8 MXN | 3.75 MXN | 15 % | 0.15 | 9 de julio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMELAB DE YUCATAN SA DE CV | 2 | 470.3 MXN | 16.8 % | 44.5 | 2010 - 2011 |
| QUIMICA TECH, S. A. DE C. V. | 2 | 876.4 MXN | 15.4 % | 78.7 | 2011 - 2012 |
| QUI?ONES AMPARANO DANIEL | 1 | 3.75 MXN | 15 % | 0.15 | 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=080.085.0034.10")
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=080.085.0034.10')
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=080.085.0034.10')