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Description
PINZA DE DISECCION RUSSO, CON DIENTES, LONGITUD 150 MM.
IMSS product code
537.702.2073.01
Each circle represents one of the 17 purchases of PINZAS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 5 | 4,039.1 MXN | 75 MXN | 7.33 % | 0.779 | 17 de agosto de 2015 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 3 | 3,337.7 MXN | 1,333 MXN | 155.5 % | 15.9 | 3 de octubre de 2016 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 749.4 MXN | 103.4 MXN | 16 % | 0.64 | 2 de febrero de 2011 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 3,201.6 MXN | 441.6 MXN | 16 % | 3.84 | 20 de marzo de 2013 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 2,134.4 MXN | 294.4 MXN | 16 % | 2.56 | 5 de febrero de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 248.4 MXN | 32.4 MXN | 15 % | 0.3 | 17 de agosto de 2009 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 748.2 MXN | 351.1 MXN | 88.4 % | 4.42 | 6 de abril de 2015 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 733.1 MXN | 177.4 MXN | 31.9 % | 1.28 | 16 de mayo de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 684.4 MXN | 525.6 MXN | 330.9 % | 6.62 | 11 de mayo de 2015 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 1,044 MXN | 484.3 MXN | 86.5 % | 5.19 | 3 de diciembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 8 | 1,120.9 MXN | 26.8 % | 10.8 | 2009 - 2016 |
| VARGAS ALVAREZ ANA LUISA | 3 | - MXN | - | - | 2014 - 2015 |
| CORPORATIVO PROMEDICA DE MEXICO, SA DE CV | 1 | 525.6 MXN | 330.9 % | 6.62 | 2015 - 2015 |
| DEWIMED, S. A. | 1 | 904.2 MXN | 284.6 % | 11.4 | 2015 - 2015 |
| HEMOST, S. A. DE C. V. | 1 | 441.6 MXN | 16 % | 3.84 | 2013 - 2013 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 68.8 MXN | 16 % | 0.32 | 2010 - 2010 |
| MARBELLA ZETINA LAGUNES | 1 | 484.3 MXN | 86.5 % | 5.19 | 2014 - 2014 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 272.7 MXN | 171.7 % | 3.43 | 2015 - 2015 |
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=537.702.2073.01")
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=537.702.2073.01')
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=537.702.2073.01')