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Description
AGUJAS PARA CATETERISMO TRANSEPTAL CURVA, TIPO BROCKENBROUGH TAMAYO INFANTIL. LONGITUD 56 CM. CALIBRE 19 G.
IMSS product code
060.040.7696.11
Each circle represents one of the 3 purchases of AGUJAS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 133,162.7 MXN | 17,770.7 MXN | 15.5 % | 7.07 | 9 de febrero de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 3,248 MXN | 448 MXN | 16 % | 0.16 | 18 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA FARMACEUTICA MARVA, S.A. DE C.V. | 2 | 17,770.7 MXN | 15.5 % | 7.07 | 2009 - 2010 |
| MEDICA AVANZADA, S. A. DE C. V. | 1 | 448 MXN | 16 % | 0.16 | 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=060.040.7696.11")
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=060.040.7696.11')
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=060.040.7696.11')