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Description
GASAS. SECA CORTADA, DE ALGODON. DOBLADA EN 12 CAPAS. NO ESTERIL. TIPO DE TEJIDO VII. DE 20 X 12 LARGO: 7.5 CM. ANCHO: 5 CM. AREA 432 CENTIMETROS CUADRADOS.
IMSS product code
060.436.0057.12
Each circle represents one of the 5 purchases of GASAS made by the IMSS between 2014 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 5 | 3,456.3 MXN | 709.8 MXN | 24.7 % | 10 | 5 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICA AVANZADA, S. A. DE C. V. | 4 | 451.4 MXN | 19.5 % | 6.36 | 2014 - 2014 |
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | 258.4 MXN | 45.5 % | 3.64 | 2014 - 2014 |
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=060.436.0057.12")
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=060.436.0057.12')
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=060.436.0057.12')