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Description
EQUIPO INTRODUCTOR DE CATE -TER ARTERIAL, CONSTA DE: UNAGUIA METALICA CON DILAT ADORDE VASO, UNA FUNDA O CAMISASIN VALVULA Y CALIBRES 5, 6,7 Y 8 FR.
IMSS product code
060.527.0305.01
Each circle represents one of the 2 purchases of GUÍAS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 22,720.5 MXN | 3,130.5 MXN | 15.5 % | 9.75 | 10 de octubre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA DE PRODUCTOS PARA EL BIENESTAR CORPO | 1 | 3,072 MXN | 16 % | 9.6 | 2014 - 2014 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 58.5 MXN | 15 % | 0.15 | 2009 - 2009 |
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=060.527.0305.01")
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=060.527.0305.01')
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=060.527.0305.01')