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Description
JERINGA DE VIDRIO CON PIVOTEDE VIDRIO, CAPACIDAD 20 ML,ESCALA GRADUADA EN ML, CONDIVISIONES DE 5.0 Y SUBDIVI-SIONES DE 1.0.
IMSS product code
060.550.0784.02
Each circle represents one of the 5 purchases of JERINGAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 3 | 5,426.2 MXN | 145.2 MXN | 5.33 % | 0.8 | 14 de junio de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 55,194.3 MXN | 11,750.8 MXN | 43.3 % | 35.2 | 12 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROMEDICA GARCIA, S. A. DE C. V. | 3 | 145.2 MXN | 5.33 % | 0.8 | 2009 - 2010 |
| NARVAEZ SANCHEZ LILIANA | 2 | 11,750.8 MXN | 43.3 % | 35.2 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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=060.550.0784.02")
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=060.550.0784.02')
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=060.550.0784.02')