I will create a spotify tableau dashboard for music data analysis


Informazioni su questo servizio
Professional Spotify Analytics & Tableau Dashboards
Turn streaming numbers into a winning music strategy! I provide deep-dive Spotify analytics using Python (Pandas/SQL) for precision cleaning and Tableau for high-impact visualization. I transform messy data into actionable business insights for artists and labels.
What You Get:
- Artist Performance: Track total streams, daily growth, and listener trends.
- Track Intelligence: Popularity scores, playlist impact, and song-level stats.
- Audience DNA: Visualize geographic hotspots to optimize tours/marketing.
- Pro Interactive Design: Modern "Spotify-Style" dark mode dashboards for presentations or social media.
️ Why Choose Me?
- IT Engineering Background: Specialized in Data Analytics and Full-Stack logic.
- Data Integrity: Expert at cleaning 5,000+ row datasets for 100% accuracy.
- Industry Context: Experience analyzing real-world stats from Kworb & Spotify Charts.
- Actionable Insights: I dont just show "what" happened; I find the "why" behind the numbers.
Lets turn your data into your biggest competitive advantage. Order now!
Scopri di più su Raj
Data Analyst and Technical Specialist
- DaIndia
- Membro dagen 2026
- Tempo di risposta medio1 ora
Lingue
Inglese, Hindi
Il mio portfolio
FAQ
What data do I need to provide?
I can work with your exported Spotify for Artists data (CSV/Excel), or I can assist in scraping public streaming data from platforms like Kworb. If your data is "messy" or unorganized, don't worry—I include professional data cleaning as part of the service.
Do I need a Tableau license to view the dashboard?
No! I will provide you with a high-quality PDF report and, if requested, a link to the interactive dashboard hosted on Tableau Public or a standalone file that you can view for free.
Can you analyze artists other than Divine?
Absolutely. The Divine project is a sample of my capabilities. I can perform the same deep-dive analysis (Total vs. Daily streams, song-level trends, and growth metrics) for any artist or playlist you specify.
What tools do you use for the analysis?
I use Python (Pandas) for heavy-duty data cleaning and processing to ensure 100% accuracy. For the visual side, I use Tableau to create professional, interactive, and presentation-ready dashboards.
Can you handle large datasets?
Yes. I have extensive experience handling datasets exceeding 5,000+ rows. Whether it’s a single artist’s career or a massive playlist's impact over time, I can process and visualize it efficiently.

