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Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.6003.00
Each circle represents one of the 4 purchases of NOMBRE PENDIENTE POR ASIGNAR made by the IMSS between 2016 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 4 | 46,748 MXN | 6,448 MXN | 16 % | 2.4 | 17 de agosto de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ALVAREZ VARGAS ERIC | 2 | 1,584 MXN | 16 % | 0.48 | 2018 - 2018 |
| COMERCIALIZADORA GLAVS, S.A. DE C.V. | 1 | 1,104 MXN | 16 % | 0.32 | 2016 - 2016 |
| GRUPO EMPRESARIAL ITSER, S. DE R.L. DE C.V. | 1 | 3,760 MXN | 16 % | 1.6 | 2017 - 2017 |
Entity type
Material de uso en equipos de computo
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=372.197.6003.00")
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=372.197.6003.00')
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=372.197.6003.00')