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Description
JERINGA DE PLASTICO GRADO MEDICO, PARA TUBERCULINA, CONAGUJA, ESTERIL Y DESECHA BLE,CAPACIDAD: 1 ML, ESCALA GRA-DUADA EN ML, CON DIVISIONESDE 0.05 ML Y SUBDI VISIONESDE 0.01 ML, CON AGUJA CAL25 G Y LONG 16 MM.
IMSS product code
060.550.1147.02
Each circle represents one of the 1 purchases of JERINGAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 719.9 MXN | 71.3 MXN | 11 % | 0.55 | 22 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SALMED DISTRIBUIDORA, S.A. DE C.V. | 1 | 71.3 MXN | 11 % | 0.55 | 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=060.550.1147.02")
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=060.550.1147.02')
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=060.550.1147.02')