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Description
PORTA AGUJA FINOCHIETO, LONGITUD 14.6 CM.
IMSS product code
535.716.0190.01
Each circle represents one of the 37 purchases of PORTA AGUJA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 8 | 122,721.5 MXN | 35,602.7 MXN | 14 % | 55.1 | 11 de julio de 2017 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 5 | 13,621.9 MXN | 3,452.8 MXN | 37.2 % | 23.3 | 30 de septiembre de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 5 | 24,164.6 MXN | 3,255 MXN | 29.7 % | 9.18 | 3 de mayo de 2017 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 4 | 66,989.7 MXN | 8,422.8 MXN | 9.56 % | 27.6 | 16 de agosto de 2016 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 3 | 6,194.3 MXN | 105.6 MXN | 5.33 % | 0.32 | 4 de julio de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 6,349.9 MXN | 3,057.7 MXN | 93.8 % | 11.2 | 6 de julio de 2013 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 2 | 3,383.7 MXN | 479.4 MXN | 38.4 % | 1.65 | 22 de noviembre de 2012 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 670.7 MXN | - MXN | - | - | 24 de septiembre de 2009 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 928 MXN | - MXN | - | - | 15 de mayo de 2012 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 5,174.3 MXN | 2,519.7 MXN | 94.9 % | 8.54 | 6 de julio de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 4,358.1 MXN | - MXN | - | - | 6 de junio de 2014 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 5,512.3 MXN | 793.1 MXN | 16.8 % | 2.69 | 1 de enero de 2010 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 3,017.2 MXN | 112.8 MXN | 3.88 % | 0.388 | 30 de marzo de 2012 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 689 MXN | 108.2 MXN | 18.6 % | 0.372 | 10 de febrero de 2012 |
| H. Traumatología "Dr. Victorio De La Fuente Narváez" Umae Trauma Y Orto M.s. "dr. Victorio De La Fuente Narvaez" (d.f. Nort | Ciudad de México | 1 | 16,518.4 MXN | 4,720.3 MXN | 40 % | 16 | 14 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 18 | 21,630.1 MXN | 32.8 % | 84.3 | 2009 - 2018 |
| GRUPO CORPORATIVO MEDICO DIVISION CENTRO S.A. DE C | 4 | - MXN | - | - | 2010 - 2011 |
| HEMOST, S. A. DE C. V. | 2 | - MXN | - | - | 2012 - 2014 |
| HIDRO HOSPITAL, S.A. DE C.V. | 2 | 2,488.1 MXN | 15.8 % | 8.55 | 2010 - 2012 |
| ALONSO RUBIN FRANCISCO FERNANDO | 1 | - MXN | - | - | 2014 - 2014 |
| COMERCIALIZADORA, DISTRIBUIDORA Y PREST. DE SERVIC | 1 | - MXN | - | - | 2009 - 2009 |
| CONTROL SCIENTIFIC, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| DEWIMED, S. A. | 1 | 2,519.7 MXN | 94.9 % | 8.54 | 2010 - 2010 |
| EBS MEXICO, S.A. DE C.V. | 1 | 2,016.3 MXN | 125.9 % | 6.3 | 2013 - 2013 |
| PROQUIGAMA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| PROVEEDORA MEDICAL DYCSA, S.A. DE C.V. | 1 | 112.8 MXN | 3.88 % | 0.388 | 2012 - 2012 |
| QUANTUM MEDICAL GROUP. S.A. DE C.V. | 1 | 31,967.2 MXN | 69.8 % | 43.2 | 2014 - 2014 |
| SUMINISTROS MEDICOS AVANZADOS S.A. DE C.V | 1 | 1,896 MXN | 22.4 % | 5.15 | 2016 - 2016 |
| TOTAL COPIERS, S.A DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| VARGAS ALVAREZ ANA LUISA | 1 | - MXN | - | - | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
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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=535.716.0190.01")
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=535.716.0190.01')
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=535.716.0190.01')