it’s a pity I’ve lost most of this second season, but I’m trying to recover
Here is my submission to the challenge. Since it’s the last one, I tried to personalise it a little bit.
Italy is full of dialects. And with “full” I don’t just mean they change from region to region (Sardinian, Sicilian, Lombard, Tuscan, just to mention some) but from city to city, village to village.
In this challenge I included my dialect, called Talamùn (Talamonese in Italian), which is a variant of the Northern Lombard dialect and it’s specific of my village (less than 5.000 inhabitants). If you go to the next village, some words, grammar and expressions change and you might not be fully understand.
In this sense, if you want to add your own language or dialect to this workflow, as long as you fill the Excel file correctly, the flow will add a new language to the available ones.
Have a nice day,
Can’t find the input files in your workflow.
you miss the language Excel file. I should have mentioned it in my previous message, but I have uploaded it in my Season 2 folder on the hub.
Thank you for telling me!
Finally! Finally we finished it!
Thank you @alinebessa! For your company throughout the journey! Thanks to the other KNIME staff members I couldn’t name in the Season 2 Challenge!
Also Thanks participants for sharing your knowledge and brains throughout the process!
This is the GIF of my last challenge, you can find the workflow here, you can find instructions about it here.
I’m also translating and polishing the questions and the official answers for Chinese readers. Even those who did not participate in the second season of activities can easily choose some topics to practice at any time.
Thank you and goodbye!
The hub is down for maintenance right now so I can’t get access to the files. Would you be able to share them on here please?
Edit: seems to be accessible again now
Thanks a lot
Wow the last challenge! Thank you @alinebessa, KNIME and my fellow JustKNIMEIT participants… what an interesting 30 weeks we’ve had!
For the final challenge, I used the languages file as a hint to decide what info/charts to create. The user can select their language and then view information about the most prolific artists (most songs) using the Tile View, a bar chart and a pie chart.
I have a bit of an issue displaying the bar chart and pie chart when the language is in German, but I’m not sure why. Maybe the umlaut in the column name. I will keep investigating
You can find my workflow on the hub here:
This is my solution.
I have created a table displaying the top 20 artists, ranked by the number of tracks they released each year. Each artist is represented by a unique color in the table cells. To make it easier for users to locate their favorite artists, only selected artists are highlighted. This solution also supports language selection.
I have successfully completed JKISeason 2. I am deeply grateful for the numerous insights gained from the participants and the official solutions.
Here’s my solution. I’ve created a component displaying a transition in audio features in the provided track data.
I’ve learned a lot and had a great time through JKISeason2. I’m grateful to all the participants and the JKI organizers.
Find herewith my submission for last challenge for the season …this is a Dejavu feel of 66 days of data though. Sample language is arabic while used a translator component by armin for this.
Here is my solution. As I did not have much time I implemented the app that shows the charts based on the highest/lowest parameters of the song of the artist. It is still interactive though. I also decided to check if there are several songs with the same name that come from different artists.
By the way I found some problems in the data too. For example check Norma Jean - you would surprised - just compare song “Memphis will be laid to waste” with other songs from this artist.
So far it was quite a journey and I would like to thank Knime people who organized JK-competition as well regular folks here, I have learnt a lot from you!
Hello everyone, this is my solution.
The last challenge, I was stumped.In order to ensure completion within the agreed time, I submitted an unsatisfactory version.
To prevent omissions, I must thank everyone. Thank you very much. I have learned many good ideas during this process.
All the best
Wow! I did not know that Italy had so many dialects! Lovely!
Coming here one day after the usual because I was at a KNIME event yesterday.
I’d like to thank you all for participating of JKI this season. It was really fun to organize it, and we learned A LOT from you. It was also very beautiful to see how your solutions kept getting better, and how you were so generous and helpful with one another. This spirit of collaboration is at the core of KNIME, and we are honored to have you as part of our community.
Stay tuned for a few announcements about this season soon, and yes: we will have a season 3 next year!
Our sincerest THANK YOU,
Aline on behalf of the KNIME Team
A little late but I didn’t want to miss the last challenge of JKI S02. This is my take, and I am not presenting very elaborate graphs due to lack of time, but I am happy with the analytical workflow.
I couldn’t follow the challenges regularly due to workload, and some (few of them) were left in draft… In any case, thanks to the KNIME team, and to all the knimer participants from whom we always learn techniques and tricks.
Keep it knim(e)ing until the next JKI’s season
I confess it’s been a while since my last solution… Its good to be back!
I was late getting started and after looking through the work you all have done, I am very impressed with what i see. So now how to do something different…?
I have been working to improve a Venn-Scatter diagram I made so that it will except any data set, not just a chemistry-focused table. What better place to share it than here, with this cool challenge.
You can find the workflow here:
An example of how the Component looks is here:
The Venn-Scatter hybrid visualized the overlap of three parameters for each artist… Here i selected “energy”, “danceability” and “tempo” for the sets and decided i would want to target artists with high scores for each of these parameters for my play list by setting the filters to have high min values.
In order to visualize which two artists meet my criteria, there is a tooltip that displays the artists name and the values of these metrics:
Ideally, the image would display an album cover, for example, but that was not something i could pull together.
Hope you find this useful.
This looks so cool! I never thought of using a Venn diagram to visualize this type of data!