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Description
JERINGAS DE PLASTICO, PARA APLICAR DPT Y TOXOIDE TETANICO, CAPACIDAD 0.5 ML CON DOS AGUJAS. UNA CALIBRE 20 X 32 MM PARA CARGAR LA JERINGA CON EL BIOLOGICO Y OTRA 22 X 32 MM PARA APLICAR LA VACUNA, CADA JERINGA CON LA LEYENDA "PROGRAMA
IMSS product code
060.550.2640.01
Each circle represents one of the 1 purchases of JERINGAS made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 418,319.2 MXN | 57,699.2 MXN | 16 % | 22,192 | 26 de octubre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 57,699.2 MXN | 16 % | 22,192 | 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=060.550.2640.01")
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=060.550.2640.01')
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=060.550.2640.01')