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Description
SISTEMAS. LIBERADOR DE OCLUSOR DE CONDUCTO ARTERIOSO. DESECHABLE. LONGITUD. 85 CM CALIBRE. 11 FR.
IMSS product code
060.820.0085.11
Each circle represents one of the 3 purchases of SISTEMAS made by the IMSS between 2016 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 2 | 8,120 MXN | 1,120 MXN | 16 % | 0.32 | 6 de octubre de 2016 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 7,946 MXN | 1,096 MXN | 16 % | 0.16 | 20 de febrero de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CARDISTENT SA DE CV | 2 | 1,120 MXN | 16 % | 0.32 | 2016 - 2016 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 1,096 MXN | 16 % | 0.16 | 2017 - 2017 |
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=060.820.0085.11")
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=060.820.0085.11')
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=060.820.0085.11')