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Description
MONTADO EN BASE DE MADERA MEDIDAS 1 X 35 CMS
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.820.0379.00
Each circle represents one of the 43 purchases of SELLO DE GOMA made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 22 | 7,544.3 MXN | 770.4 MXN | 24.1 % | 20.5 | 17 de mayo de 2016 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 9 | 11,611.6 MXN | 2,118 MXN | 67.5 % | 18.1 | 6 de diciembre de 2017 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 4 | 3,239 MXN | 1,562 MXN | 48.7 % | 18.4 | 27 de junio de 2014 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 352.9 MXN | 52.1 MXN | 23 % | 2.07 | 11 de mayo de 2012 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 2 | 421.3 MXN | 292.9 MXN | 503.3 % | 10.1 | 23 de noviembre de 2011 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 2 | 266.8 MXN | 1.68 MXN | 0.458 % | 0.0183 | 5 de marzo de 2014 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 1,259.3 MXN | 39.4 MXN | 3.23 % | 0.968 | 2 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MENA PENICHE CESAR AUGUSTO | 15 | 555.8 MXN | 31 % | 13.7 | 2009 - 2009 |
| BASTO ESTRELLA LIBRADA CONCEPCION | 6 | 160.1 MXN | 10.6 % | 4.86 | 2012 - 2016 |
| CRUZ MUNGUIA MARTHA OLIVIA | 4 | 515.5 MXN | 61.5 % | 5.52 | 2013 - 2014 |
| MORALES LOPEZ DAVID GUILLERMO | 4 | 325.7 MXN | 86.5 % | 3.46 | 2013 - 2014 |
| CEDILLO TORRIJO MARCELINO | 2 | 15.2 MXN | 26.8 % | 0.536 | 2009 - 2010 |
| RAMA SERVICIOS, S.A. DE C.V. | 2 | 292.9 MXN | 503.3 % | 10.1 | 2010 - 2011 |
| SOSA ZAVALA NAYELI GUADALUPE | 2 | 1.68 MXN | 0.458 % | 0.0183 | 2014 - 2014 |
| TREVINO CONCHAS MARIA ASUNCION | 2 | 38.9 MXN | 21.5 % | 1.49 | 2010 - 2012 |
| BERNAL ARELLANOS RAUL ALBERTO | 1 | 37 MXN | 15.3 % | 1.53 | 2012 - 2012 |
| CARLOS ALBERTO CRUZ REYES | 1 | 1,511.3 MXN | 102.7 % | 16.4 | 2014 - 2014 |
| COMERCIALIZADORA YIREH, S.A. DE C.V. | 1 | 11.8 MXN | 48.9 % | 0.489 | 2012 - 2012 |
| LAZARO VILLEGAS CECILIO | 1 | 54.6 MXN | 2.41 % | 1.93 | 2010 - 2010 |
| LUCY IBET ALVAREZ LUGO | 1 | 1,276.8 MXN | 16 % | 9.12 | 2017 - 2017 |
| OLVERES LANDEROS DAVID | 1 | 39.4 MXN | 3.23 % | 0.968 | 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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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=312.820.0379.00")
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=312.820.0379.00')
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=312.820.0379.00')