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Description
AGUJA DENTAL DESECHABLE, CORTA CAL 30 G Y DE LONG 20 A25 MM TIPO CARPULE.
IMSS product code
060.040.8041.03
Each circle represents one of the 3 purchases of AGUJAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 2 | 438.7 MXN | 95 MXN | 54.1 % | 1.19 | 2 de diciembre de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 269.1 MXN | 37.1 MXN | 16 % | 0.16 | 4 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LUCIA RAMIREZ MARTINEZ | 1 | 95 MXN | 108.3 % | 1.19 | 2009 - 2009 |
| MEDICA AVANZADA, S. A. DE C. V. | 1 | 37.1 MXN | 16 % | 0.16 | 2012 - 2012 |
| Proveedor local no identificado (Compra Emergente) | 1 | - MXN | - | - | 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=060.040.8041.03")
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=060.040.8041.03')
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=060.040.8041.03')