Do we need to eliminate seasonality as we prepare data for Market Basket Analysis. For e.g., people may buy bread and butter in summer, versus the same people may buy bread and jam in winter. How would this affect the analysis? Or should I do a separate analysis for summer vs winter if I expect a strong seasonality signal? Thanks for ur views.
At 19:40 when u expain support @18% of the total samples, you say that out of 1000 customers 18% of them purchased Freshmeat, CannedVeg, SoftDrink and Dairy. Is it true that they purchased CannedVeg despite it being a False in the row? Thanks.
after getting the output of market basket analysis in the left hand side bottom side next to question mark you have a option to get the output in text format
@@theoutlier7395 sir i have some questions to you. ı have a survey executed. options are similar to this : 1. ı know / ı dont know 2. ı speak / ı dont speak so, PDF AND CDF needs to be calculated. how can I do it ? and i need to median , mod of the words as well how can i do
hello sir, the results are totally different for me than yours. i am getting more consequent = F. 1. Is there any way to filter out and store the values that are =T in a table. 2. why the output is coming differently sir. Please guide me sir. thank you. waiting for your reply.
sir i have some questions to you. ı have a survey executed. options are similar to this : 1. ı know / ı dont know 2. ı speak / ı dont speak so, PDF AND CDF needs to be calculated. how can I do it ? and i need to median , mod of the words as well how can i do
@@theoutlier7395 Standart deviation , mean value can be obtained via Distribiuton widget on Orange datatable ? What i obtained in the distribition widget ,s about Normal Distribution ? Shortly can i get results of normal distribiuton in orange ?
Hello sir, I want to ask question. The item that is equal to F means it was not bought, right? At 16:03, 1. Why the antecedents still show some of the items that is equal to F? Wasnt the rules generated to show what the customers bought? 2. Why a few of the consequent showed items that is equal to F? I'm a little bit confused, than you.
1. Ideally speaking it shouldn't display the items which haven't been bought. Many software's like IBM Modeler "strictly" displays only those products which have been bought. This is peculiar to orange where it displays some of the items where antecedents and consequents items=F.
2. Before executing the Apriori algorithm we can specify some constraints and ask Orange to pull out only those rules where items=T. In this exercise since i didnt put those restrictions Orange is giving all rules, even those rules where item=F
Please experiment by decreasing the Support, confidence try to reduce to 80 percent .Make sure the Lift is at least 1. Please dont decrease lift value lesser than one
Great video. It really helped me a lot. Great job
Thanks All the best.
Do we need to eliminate seasonality as we prepare data for Market Basket Analysis. For e.g., people may buy bread and butter in summer, versus the same people may buy bread and jam in winter. How would this affect the analysis? Or should I do a separate analysis for summer vs winter if I expect a strong seasonality signal? Thanks for ur views.
no need
I love you so much! thank you
Glad it helped!
Very well presented.
Glad you liked it!
Hye can you help in orange software ?
Hi sir, thanks for your explanation. May I get the dataset?? thanks
At 19:40 when u expain support @18% of the total samples, you say that out of 1000 customers 18% of them purchased Freshmeat, CannedVeg, SoftDrink and Dairy. Is it true that they purchased CannedVeg despite it being a False in the row? Thanks.
good observation .people have not purchased cannedved
how can i get output as a txt or xls format
after getting the output of market basket analysis in the left hand side bottom side next to question mark you have a option to get the output in text format
@@theoutlier7395 can i do it for all association rules ?
@@theoutlier7395 ı want to use the datas in my thesis
@@theoutlier7395 i could not do it can yoy help me ? can i get output by creating automatically association rııles ?
@@theoutlier7395 sir i have some questions to you.
ı have a survey executed. options are similar to this :
1. ı know / ı dont know
2. ı speak / ı dont speak
so, PDF AND CDF needs to be calculated. how can I do it ? and i need to median , mod of the words as well how can i do
is this system uses Apriori algorithm ? (association rule ) ?
great explaintation!!
May I get the link to download this dataset?
Apologies for the delayed response
drive.google.com/file/d/1w9J1dtUT1RI0uPuJZkzIj-PaVAG3AE5X/view?usp=sharing
hello sir, the results are totally different for me than yours. i am getting more consequent = F.
1. Is there any way to filter out and store the values that are =T in a table.
2. why the output is coming differently sir.
Please guide me sir. thank you. waiting for your reply.
sir i have some questions to you.
ı have a survey executed. options are similar to this :
1. ı know / ı dont know
2. ı speak / ı dont speak
so, PDF AND CDF needs to be calculated. how can I do it ? and i need to median , mod of the words as well how can i do
Not sure what is the need to calculate PDf and CDF, SPSS compte variable has what you need
Median: use SPSS Explore
Mode is not easy in SPSS
@@theoutlier7395 Standart deviation , mean value can be obtained via Distribiuton widget on Orange datatable ? What i obtained in the distribition widget ,s about Normal Distribution ?
Shortly can i get results of normal distribiuton in orange ?
@@theoutlier7395 thanks sir. how can i make corelation in orange. ? i dont have numeric values
sir please give me access for the drive. i need to download this data set for assignment
from where you downloaded the dataset
Sample files from IBM Modeller
drive.google.com/file/d/1w9J1dtUT1RI0uPuJZkzIj-PaVAG3AE5X/view?usp=sharing
Hello sir, I want to ask question. The item that is equal to F means it was not bought, right? At 16:03,
1. Why the antecedents still show some of the items that is equal to F? Wasnt the rules generated to show what the customers bought?
2. Why a few of the consequent showed items that is equal to F?
I'm a little bit confused, than you.
Thanks for the question and good observation!
The item that is equal to F means it was not bought- yeah thats is right.
1. Ideally speaking it shouldn't display the items which haven't been bought. Many software's like IBM Modeler "strictly" displays only those products which have been bought. This is peculiar to orange where it displays some of the items where antecedents and consequents items=F.
2. Before executing the Apriori algorithm we can specify some constraints and ask Orange to pull out only those rules where items=T. In this exercise since i didnt put those restrictions Orange is giving all rules, even those rules where item=F
Where did you get this data set
IBM Modeler Sample files
how to construct data and how to convert data to this type
There are no easy answers here, We have to use Excel and a bit of pivot table to bring the data into this format.
@@theoutlier7395 i got it. for example, if we are giving consultancy for a company, for their datasets, we need to do some processes. is it true ?
@@eylmaz6696 As part of data pre processing we need to create a Truth table as shown in the above dataset and then feed this in the MBA algorithm
@@theoutlier7395 thanks sir, do big companies use orange for data analysis?
is this system uses Apriori algorithm ? (association rule ) ?@@theoutlier7395
I am getting only F output, can you pls help me out
Looks like yiour data has very few True cases hence u are getting only F outputs
Please experiment by decreasing the Support, confidence try to reduce to 80 percent .Make sure the Lift is at least 1. Please dont decrease lift value lesser than one
Let me know if it works
Method 2: Try ECLAT algorithm instead of apriori
can you give me this data
share ur mail id il send the data!