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Description
SONDAS PARA DRENAJE CON CUATRO ALETAS PARA AUTORRETENCION DE LATEX, ESTERIL Y DESECHABLE, TIPO: MALECOT. CALIBRE 28 FR.
IMSS product code
060.168.9409.11
Each circle represents one of the 2 purchases of SONDAS made by the IMSS between 2012 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 250.6 MXN | 34.6 MXN | 16 % | 0.16 | 5 de marzo de 2012 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 2,714.4 MXN | 374.4 MXN | 16 % | 1.92 | 12 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 374.4 MXN | 16 % | 1.92 | 2013 - 2013 |
| ZARATE RODRIGUEZ JOSE ALBERTO | 1 | 34.6 MXN | 16 % | 0.16 | 2012 - 2012 |
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=060.168.9409.11")
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=060.168.9409.11')
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=060.168.9409.11')