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Description
AGUJAS PARA TRANSPLANTE DE MEDULA OSEA. ESTERILES Y DESECHABLES. TIPO STEIS.LONGITUD. 10 CM CALIBRE. 11 G.
IMSS product code
060.040.0824.02
Each circle represents one of the 13 purchases of AGUJAS made by the IMSS between 2011 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 9 | 180,072.1 MXN | 31,508.7 MXN | 19.9 % | 37.3 | 11 de mayo de 2017 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 9,952.8 MXN | - MXN | - | - | 23 de noviembre de 2012 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 42,473.6 MXN | 7,768.6 MXN | 22.4 % | 8.95 | 12 de septiembre de 2016 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 111,068.1 MXN | 41,515.9 MXN | 59.7 % | 15.5 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 7 | 26,577.8 MXN | 21.4 % | 31.3 | 2013 - 2016 |
| MARA IRASEMA CASTRO ACU?A | 2 | - MXN | - | - | 2012 - 2012 |
| ALFEJ MEDICAL ITEMS S DE R.L. DE C.V. | 1 | 7,768.6 MXN | 22.4 % | 8.95 | 2016 - 2016 |
| CAPACE MEDICAL, S.A. DE C.V. | 1 | 1,310.1 MXN | 13.6 % | 2.72 | 2014 - 2014 |
| DISTRIBUIDORA DE PRODUCTOS PARA EL BIENESTAR CORPO | 1 | 3,620.8 MXN | 16 % | 3.2 | 2017 - 2017 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 41,515.9 MXN | 59.7 % | 15.5 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.040.0824.02")
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=060.040.0824.02')
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=060.040.0824.02')