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Description
EQUIPO DE GASTROSTOMIA DE SILICON CON GLOBO EN LA PUNTADE 5 A 10 ML CON ANILL O RETRACTOR CAL 20 FR.
IMSS product code
060.345.1287.01
Each circle represents one of the 3 purchases of EQUIPOS made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 11,747.3 MXN | 2,535.7 MXN | 37.6 % | 0.751 | 19 de diciembre de 2013 |
| Delegación Baja California | Baja California | 1 | 4,855.1 MXN | - MXN | - | - | 14 de septiembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICA AVANZADA, S. A. DE C. V. | 2 | 2,535.7 MXN | 37.6 % | 0.751 | 2013 - 2013 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | - MXN | - | - | 2010 - 2010 |
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=060.345.1287.01")
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=060.345.1287.01')
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=060.345.1287.01')