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Description
CATETER VENOSO, PARA NUTRICION PARENTERAL AMBULATORIA CON TRIPLE LUMEN, Y EQUIPO INTRODUCTOR. ESTERIL Y DESECHABLE. TIPO: NIH. LONGITUD. 125 CM CALIBRE 6 FR.
IMSS product code
060.167.6679.11
Each circle represents one of the 3 purchases of CATÉTERES made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 668.2 MXN | 92.2 MXN | 16 % | 3.84 | 21 de octubre de 2010 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 6,786 MXN | 936 MXN | 16 % | 0.8 | 7 de mayo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA DE FARMACOS Y FRAGANCIAS, SA DE CV | 2 | 92.2 MXN | 16 % | 3.84 | 2010 - 2010 |
| JIMENEZ MEDINA BALBINA | 1 | 936 MXN | 16 % | 0.8 | 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=060.167.6679.11")
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=060.167.6679.11')
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=060.167.6679.11')