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Description
JERINGA DESECHABLE PARA APLICAR 0.5 ML. DE VACUNA ANTIINFLUENZA EN ADULTOS; DPT + HEPATITIS B + HIB; DPT, Y TOXOIDE TETANICO; CAPACIDAD DE 0.5 ML. GRADUADA EN DECIMAS DE ML. CON DOS AGUJAS: UNA CALIBRE 20X32 MM. PARA CARGAR LA JERINGA CON
IMSS product code
060.550.2715.01
Each circle represents one of the 2 purchases of JERINGAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 400.2 MXN | 55.2 MXN | 16 % | 0.32 | 5 de abril de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 291,852.9 MXN | 40,255.6 MXN | 16 % | 358.9 | 18 de octubre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ARTIMEDICA, S.A. DE C.V. | 1 | 40,255.6 MXN | 16 % | 358.9 | 2011 - 2011 |
| JOSE FIDELINO AREVALO LOPEZ | 1 | 55.2 MXN | 16 % | 0.32 | 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=060.550.2715.01")
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=060.550.2715.01')
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=060.550.2715.01')