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Description
(MARCA REMINGTON) DE TEJIDO PLANO UNIFORME CON FILAMENTOS CONTINUOS DE POLIAMIDA (NYLON) IMPREGNADA CONTINTA NEGRA Y ROJA, UNIDA ENUNO DE SUS EXTREMOS A UN CARRETE DE ACUERDO AL TIPO DE
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.205.0309.01
Each circle represents one of the 27 purchases of CINTA PARA MAQUINA DE ESCRIBIR made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 9 | 48,191 MXN | 6,783.2 MXN | 23.2 % | 826 | 19 de junio de 2018 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 5 | 4,584.4 MXN | 409.2 MXN | 14 % | 51 | 19 de junio de 2014 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 3 | 631.5 MXN | 92 MXN | 16.1 % | 7.08 | 11 de febrero de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 8,025.6 MXN | 768 MXN | 10.9 % | 99.6 | 8 de mayo de 2013 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 2 | 1,227.9 MXN | 163.1 MXN | 16.6 % | 23.9 | 29 de enero de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 2 | 1,930 MXN | 1,115.3 MXN | 166.1 % | 123.8 | 1 de marzo de 2014 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 32,939.8 MXN | 3,836.4 MXN | 8.02 % | 256.5 | 28 de febrero de 2018 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 748.2 MXN | 375.2 MXN | 100.6 % | 50.3 | 26 de abril de 2011 |
| H. de Traumatología y Ortopedia, Núm. 21, Monterrey, N.L. Umae Traumatologia Y Ortopedia Nuevo Leon | Nuevo León | 1 | 405 MXN | 31.8 MXN | 8.52 % | 5.11 | 23 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA DAMAG, S.A. DE C.V. | 15 | 5,703 MXN | 14.9 % | 743.4 | 2009 - 2013 |
| COMERCIALIZADORA GEDA, S.A. DE C.V. | 4 | 600.1 MXN | 6.56 % | 67.2 | 2014 - 2017 |
| DAVLU DISTRIBUIDORA S.A. DE C.V. | 3 | 4,920.8 MXN | 114.9 % | 373.4 | 2014 - 2018 |
| ANUNCIOS, IMPRESIONES Y SOLUCIONES S.A. DE C.V. | 1 | 37.8 MXN | 19.4 % | 4.65 | 2013 - 2013 |
| MARTIN DEL CAMPO FONSECA JOSE LUIS | 1 | 50.4 MXN | 16 % | 1.92 | 2016 - 2016 |
| MONTIEL DAVALOS JUAN | 1 | 375.2 MXN | 100.6 % | 50.3 | 2011 - 2011 |
| PRODUCCIONES CONTI, S.A. DE C.V. | 1 | 1,095.3 MXN | 94 % | 75.2 | 2017 - 2017 |
| VAZQUEZ ERIES DAVID | 1 | 791.5 MXN | 14.8 % | 127.2 | 2009 - 2009 |
Entity type
Utiles de oficina
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=312.205.0309.01")
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=312.205.0309.01')
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=312.205.0309.01')