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Description
CEPILLO PARA ESTUDIO CITOLO-GICO (TOMA DE MUESTRA) DELCANAL ENDOCERVICAL, A BASEDE COLECTOR CELULAR DESECHA-BLE, CON CERDAS SUAVES FIJADAS A UN MANGO ARIST TADO.
IMSS product code
060.189.0049.02
Each circle represents one of the 1 purchases of CEPILLOS made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Gineco Obstetricia Núm. 4 "Dr. Luis Castelazo Ayala" Umae Gineco - Obstetricia No. 4 (d.f. Sur) | Ciudad de México | 1 | 358.8 MXN | 46.8 MXN | 15 % | 60 | 15 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANESTHESIOLOGY TECHNOLOGY, S.A. DE C.V. | 1 | 46.8 MXN | 15 % | 60 | 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=060.189.0049.02")
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=060.189.0049.02')
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=060.189.0049.02')