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Description
PARA IMPRESORAS MARCA SAMSUNG, MODELOS ML-3710ND ML-331X/371X, SCX-483X/563X/573X, NUMERO DE PARTE MLTD205L, COLOR NEGRO
Classification
Material médico. Material de uso en equipos de computo
IMSS product code
372.197.5567.00
Each circle represents one of the 92 purchases of CARTUCHO DE TONER made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos | Morelos | 58 | 1 millones MXN | 152,820.8 MXN | 20.6 % | 72.8 | 30 de diciembre de 2016 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 34 | 9.5 millones MXN | 1.3 millones MXN | 22.2 % | 599.5 | 23 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SODEIME INGENIERIA MEDICA, S.A. DE C.V. | 28 | 64,224.3 MXN | 15.9 % | 29.2 | 2015 - 2016 |
| LEON LIMON ANGELICA | 15 | 537.4 MXN | 0.222 % | 0.231 | 2015 - 2016 |
| SANCHEZ MANCERA FAUSTA EMILIA | 14 | 87,425.3 MXN | 51.9 % | 42.6 | 2015 - 2015 |
| NEXUS HIGHTECH SOLUTIONS, S.A DE C.V | 10 | 427,347.6 MXN | 18.9 % | 189.2 | 2016 - 2018 |
| COMPUSUPPORT DE CUERNAVACA S.A. DE C.V. | 6 | 464,286.9 MXN | 17.9 % | 232.5 | 2014 - 2017 |
| BOXCOM, S.A DE C.V. | 4 | 39,554.1 MXN | 10.7 % | 27.4 | 2014 - 2015 |
| NOVUS SUPPLY, S.A. DE C.V. | 4 | 2,384.1 MXN | 2.76 % | 1.65 | 2014 - 2015 |
| SISTECOMP, S.A. DE C.V. | 4 | 81,751.1 MXN | 51.6 % | 39.8 | 2015 - 2015 |
| NETSHELL SA. DE CV. | 3 | 228,039.7 MXN | 16.7 % | 99.9 | 2017 - 2018 |
| RAMIREZ COLIN MARTIN EDUARDO | 3 | 19,978.2 MXN | 56 % | 9.74 | 2015 - 2015 |
| GARCIA VERGARA ALEJANDRINA | 1 | - MXN | - | - | 2016 - 2016 |
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=372.197.5567.00")
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=372.197.5567.00')
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=372.197.5567.00')