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Description
BOTELLA DE POLIESTIRENO PARA CULTIVO ESTERIL, DESECHABLE, DE 50 ML., CUELLO CURVO, TRIANGULARES.
IMSS product code
080.100.0027.01
Each circle represents one of the 8 purchases of FRASCOS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 5 | 274,558.5 MXN | 38,085.1 MXN | 12.9 % | 11.3 | 6 de marzo de 2013 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 3 | 17,368.9 MXN | 7,419.8 MXN | 659.7 % | 39.5 | 28 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 7 | 45,504.9 MXN | 291.9 % | 50.8 | 2009 - 2013 |
| SDP MEXICO, S.A. DE C.V. | 1 | - MXN | - | - | 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=080.100.0027.01")
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=080.100.0027.01')
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=080.100.0027.01')