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Description
ELEVADOR AUSTIN, ANGULADO A 90 GRADOS, CON 2.0 MM DE DIAMETRO. LONGITUD TOTAL 160 MM.
IMSS product code
537.327.2771.01
Each circle represents one of the 4 purchases of ELEVADOR made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 2,505.6 MXN | 345.6 MXN | 16 % | 0.64 | 2 de febrero de 2011 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 2,505.6 MXN | 345.6 MXN | 16 % | 0.64 | 5 de febrero de 2013 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,681.7 MXN | 232 MXN | 16 % | 0.48 | 1 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 691.2 MXN | 16 % | 1.28 | 2010 - 2013 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 232 MXN | 16 % | 0.48 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=537.327.2771.01")
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=537.327.2771.01')
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=537.327.2771.01')