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Description
ALCOHOL ISOAMILICO RA TA.
IMSS product code
080.783.5046.01
Each circle represents one of the 3 purchases of REACTIVOS QUÍMICOS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 2 | 6,472.4 MXN | 741.8 MXN | 13 % | 3.13 | 31 de enero de 2011 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 1,840 MXN | 366.7 MXN | 24.9 % | 1.49 | 16 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 1 | 366.7 MXN | 24.9 % | 1.49 | 2009 - 2009 |
| GUTIERREZ CASTA?EDA FERNANDO | 1 | 445.4 MXN | 16 % | 1.92 | 2011 - 2011 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 296.3 MXN | 10.1 % | 1.21 | 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=080.783.5046.01")
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=080.783.5046.01')
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=080.783.5046.01')