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Description
TIJERA NELSON-METZEMBAUM, CURVA, CON PUNTA DE DIAMANTE LONGITUD TOTAL 280 MM.
IMSS product code
537.857.1318.01
Each circle represents one of the 20 purchases of TIJERA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 3 | 34,086 MXN | 5,419.4 MXN | 27.1 % | 6.72 | 24 de abril de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 3 | 13,537.2 MXN | 2,459.7 MXN | 42.2 % | 3.2 | 1 de enero de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 2,295.6 MXN | 597.2 MXN | 42.8 % | 0.856 | 10 de enero de 2012 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 4,773.2 MXN | 820.2 MXN | 12.5 % | 1.25 | 9 de noviembre de 2012 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 9,628 MXN | 900 MXN | 8 % | 0.8 | 2 de febrero de 2011 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 1,566 MXN | 522.5 MXN | 50.1 % | 0.501 | 20 de agosto de 2010 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 20,300 MXN | 2,800 MXN | 16 % | 2.24 | 31 de enero de 2017 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 6,525 MXN | 1,247.7 MXN | 23.6 % | 1.18 | 6 de junio de 2014 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 7,067.9 MXN | 974.9 MXN | 16 % | 0.48 | 17 de agosto de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 50,608.5 MXN | 8,867.7 MXN | 21.2 % | 8.5 | 22 de julio de 2010 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 49,926.4 MXN | 6,886.4 MXN | 16 % | 5.12 | 28 de septiembre de 2016 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 706.1 MXN | - MXN | - | - | 10 de julio de 2009 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 21,344 MXN | 2,944 MXN | 16 % | 3.2 | 5 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 10 | 14,956.6 MXN | 31.8 % | 14.8 | 2009 - 2018 |
| HEMOST, S. A. DE C. V. | 4 | 1,530.2 MXN | 29.3 % | 2.33 | 2009 - 2015 |
| HIDRO HOSPITAL, S.A. DE C.V. | 3 | 6,985.5 MXN | 8.5 % | 5.21 | 2010 - 2016 |
| ALVAREZ MARTINEZ TANIA | 1 | 8,867.7 MXN | 21.2 % | 8.5 | 2010 - 2010 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 2,099.7 MXN | 11.1 % | 3.21 | 2012 - 2012 |
| PROVEEDORA MEDICAL DYCSA, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=537.857.1318.01")
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=537.857.1318.01')
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=537.857.1318.01')