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Description
CUCHARILLA LEMPERT, CON COPA DEL NO. 1 O DE 3.0 MM. DE DIAMETRO, PARA CIRUGIA DE MASTOIDES. LONGITUD 20 CM.
IMSS product code
537.263.0243.01
Each circle represents one of the 5 purchases of CUCHARILLA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 668.2 MXN | 92.2 MXN | 16 % | 0.32 | 2 de febrero de 2011 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 3,248 MXN | 634.7 MXN | 24.3 % | 1.7 | 30 de noviembre de 2017 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 324.8 MXN | 44.8 MXN | 16 % | 0.16 | 5 de febrero de 2013 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 649.6 MXN | - MXN | - | - | 6 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 5 | 771.6 MXN | 14.5 % | 2.18 | 2010 - 2017 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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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=537.263.0243.01")
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=537.263.0243.01')
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=537.263.0243.01')