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Description
SUTURAS. SINTETICAS ABSORBIBLES MONOFILAMENTO DE POLIDIOXANONA CON AGUJA. LONGITUD DE LA HEBRA 70 CM. CALIBRE DE LA SUTURA 3-0. CARACTERISTICAS DE LA AGUJA 1/2 CIRCULO, PUNTA AHUSADA (35-40 MM).
IMSS product code
060.841.2276.11
Each circle represents one of the 17 purchases of SUTURAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 97,752.4 MXN | 8,196.6 MXN | 12.7 % | 9.33 | 1 de enero de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 3 | 28,626.2 MXN | 7,092.2 MXN | 23.9 % | 7.54 | 3 de mayo de 2017 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 3 | 16,219.3 MXN | 1,877.2 MXN | 9.1 % | 2.4 | 10 de febrero de 2016 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 2 | 147,829.7 MXN | 26,528.3 MXN | 33.5 % | 25 | 10 de abril de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 511,292.3 MXN | 70,523.1 MXN | 16 % | 71.8 | 21 de diciembre de 2013 | |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 301.6 MXN | - MXN | - | - | 13 de diciembre de 2016 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 28,761.5 MXN | 5,808.3 MXN | 25.3 % | 6.07 | 4 de mayo de 2016 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 6,816 MXN | 4,501.3 MXN | 194.5 % | 3.89 | 23 de marzo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIHCSA PARA HOSPITALES, S. A. DE C. V. | 5 | 21,279.8 MXN | 17.2 % | 23.6 | 2016 - 2018 |
| DURFA, S. A. DE C. V. | 2 | 19,452.6 MXN | 36.8 % | 17.5 | 2010 - 2018 |
| REGA ESPECIALIDADES INTERNACIONALES, S.A. DE C.V. | 2 | 721.7 MXN | 9.43 % | 0.755 | 2016 - 2016 |
| GERARD MEDICAL SISTEMS, S.A. DE C.V. | 1 | 5,808.3 MXN | 25.3 % | 6.07 | 2016 - 2016 |
| GRUPO KASTARI SA DE CV | 1 | 363 MXN | 11 % | 0.11 | 2011 - 2011 |
| HOSPI-MEDICAL DEL SUR, S.A. DE C.V. | 1 | 4,501.3 MXN | 194.5 % | 3.89 | 2018 - 2018 |
| INTERNACIONAL FARMACEUTICA, S.A. DE C.V. | 1 | 50,488.4 MXN | 16 % | 52.5 | 2011 - 2011 |
| MATCUR, S.A. DE C.V. | 1 | 20,034.7 MXN | 16 % | 19.4 | 2013 - 2013 |
| MEDINA MIYAKI ALBERTO | 1 | - MXN | - | - | 2016 - 2016 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 1,648.4 MXN | 17.6 % | 2.11 | 2013 - 2013 |
| SANABRIA CORPORATIVO MEDICO, S.A. DE C.V. | 1 | 228.8 MXN | 9.75 % | 0.292 | 2013 - 2013 |
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=060.841.2276.11")
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=060.841.2276.11')
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=060.841.2276.11')