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Description
SUTURAS SINTETICAS ABSORBIBLES. TRENZADA DE POLIGLICONATO, CON AGUJA. LONGITUD DE LA HEBRA. 70 CM CALIBRE DE LA SUTURA. 0 CARACTERISTICAS DE LA AGUJA. EN FORMA DE ESQUI AHUSADA, DE (24-26 MM).
IMSS product code
060.842.0501.03
Each circle represents one of the 1 purchases of SUTURAS made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 26,064.6 MXN | 3,595.1 MXN | 16 % | 2.24 | 25 de junio de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA NACIONAL DE MAT. DE CURACION, SA DE CV | 1 | 3,595.1 MXN | 16 % | 2.24 | 2013 - 2013 |
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=060.842.0501.03")
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=060.842.0501.03')
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=060.842.0501.03')