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Description
JERINGA DE PLASTICO, ESTERILY DESECHABLE, CON PIVOTE TI-PO LUER LOCK, CAPACIDAD 10ML, ESCALA GRADUADA EN ML,CON DIVISIONES DE 1.0 Y SUB-DIVISIONES DE 0.2, C CON AGUJACAL 20 G Y LONG 38 MM.
IMSS product code
060.550.0016.05
Each circle represents one of the 23 purchases of JERINGAS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 19 | 83,463.4 MXN | 24,516.1 MXN | 2,321.5 % | 8,259.6 | 2 de diciembre de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 3,886 MXN | 259.3 MXN | 40.4 % | 161.7 | 5 de mayo de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 475.6 MXN | 65.6 MXN | 16 % | 0.32 | 24 de diciembre de 2014 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 2,760 MXN | 2,744 MXN | 17,112.5 % | 1,711.2 | 9 de noviembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 12 | - MXN | - | - | 2009 - 2010 |
| MEDICA DALI, S. A. DE C. V. | 7 | 24,516.1 MXN | 6,301.2 % | 8,259.6 | 2010 - 2010 |
| ESPARZA LUEVANO JUAN MANUEL | 2 | 259.3 MXN | 40.4 % | 161.7 | 2009 - 2010 |
| FLORES SANCHEZ MARIA DEL CARMEN | 1 | 2,744 MXN | 17,112.5 % | 1,711.2 | 2009 - 2009 |
| MEDICA AVANZADA, S. A. DE C. V. | 1 | 65.6 MXN | 16 % | 0.32 | 2014 - 2014 |
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=060.550.0016.05")
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=060.550.0016.05')
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=060.550.0016.05')