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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Data Preparation and Cleaning in Tableau Desktop

    Posted By: IrGens
    Data Preparation and Cleaning in Tableau Desktop

    Data Preparation and Cleaning in Tableau Desktop
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 44m | 260 MB
    Instructor: Mihaela Danci

    Data is rarely clean or in the right format for analysis. This course will teach you how to connect, combine, and clean data using Tableau Desktop.

    What you'll learn

    Whether it's exported from Excel, pulled from a database, or scraped from a report, data rarely comes in the right format for analysis. Preparing data is the first step in building trustworthy dashboards. In this course, Data Preparation and Cleaning in Tableau Desktop, you’ll gain the ability to connect, clean, and structure data for accurate analysis.

    First, you’ll explore how to connect to multiple data sources, combine them with joins and unions, and manage relationships between tables. Next, you’ll discover how to clean datasets by renaming fields, fixing data types, and handling missing values. Finally, you’ll learn how to reshape your data through pivots and calculations, and how to save your cleaned data sources for future use.

    When you’re finished with this course, you’ll have the skills and knowledge of Tableau Desktop needed to prepare data for analysis.


    Data Preparation and Cleaning in Tableau Desktop