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Description
SONDA, PUNTA REDONDA, DE LA-TEX, CAL 10 FR Y DE LONG 40CM TIPO NELATON.
IMSS product code
060.168.6595.02
Each circle represents one of the 2 purchases of SONDAS made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 104.4 MXN | 14.4 MXN | 16 % | 0.8 | 24 de septiembre de 2013 |
| Delegación Veracruz Norte | Veracruz | 1 | 58.2 MXN | 0.0044 MXN | 0.00757 % | 0.000263 | 12 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ANDRADE SANDOVAL JAVIER | 1 | 0.0044 MXN | 0.00757 % | 0.000263 | 2010 - 2010 |
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | 14.4 MXN | 16 % | 0.8 | 2013 - 2013 |
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=060.168.6595.02")
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=060.168.6595.02')
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=060.168.6595.02')