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Description
TIJERA BELLUCCI, CURVA HACIA LA DERECHA, LONGITUD DE LAS HOJAS 7.0 MM. LONGITUD TOTAL 136 MM.
IMSS product code
537.857.1557.01
Each circle represents one of the 3 purchases of TIJERA made by the IMSS between 2010 and 2012.
| 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 | 54,404 MXN | 7,504 MXN | 16 % | 3.2 | 2 de febrero de 2011 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 14,014.5 MXN | 1,933 MXN | 16 % | 0.8 | 1 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 2,320 MXN | 16 % | 1.6 | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 1,933 MXN | 16 % | 0.8 | 2012 - 2012 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 5,184 MXN | 16 % | 1.6 | 2011 - 2011 |
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=537.857.1557.01")
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=537.857.1557.01')
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=537.857.1557.01')