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Description
SISTEMAS LIBERADOR DE OCLUSOR DE CONDUCTO ARTERIOSO. DESECHABLE. LONGITUD. 85 CM CALIBRE 8 FR.
IMSS product code
060.820.0077.11
Each circle represents one of the 3 purchases of SISTEMAS made by the IMSS between 2011 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 22,272 MXN | 3,072 MXN | 16 % | 5.12 | 22 de diciembre 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 | 7,540 MXN | 1,040 MXN | 16 % | 0.16 | 11 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MARA IRASEMA CASTRO ACU?A | 2 | 3,072 MXN | 16 % | 5.12 | 2011 - 2011 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 1,040 MXN | 16 % | 0.16 | 2016 - 2016 |
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=060.820.0077.11")
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=060.820.0077.11')
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=060.820.0077.11')