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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.

    Exploratory Data Analysis (EDA) with R

    Posted By: IrGens
    Exploratory Data Analysis (EDA) with R

    Exploratory Data Analysis (EDA) with R
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 37m | 97.5 MB
    Instructor: Ali Feizollah

    Learn to analyze data distributions, explore variable relationships, and identify data quality issues using R. This course will help you interpret distributions and improve decision-making through effective data analysis.

    What you'll learn

    Business decisions often fail due to poor understanding of data patterns, relationships, and quality issues in the analysis phase. In this course, Exploratory Data Analysis (EDA) with R, you'll gain the ability to thoroughly analyze data for better decision-making.

    First, you'll explore how to summarize and interpret data distributions using descriptive statistics. Next, you'll discover patterns and relationships between variables through correlation analysis and grouped summaries. Finally, you'll learn how to identify and assess data quality issues including missing values, outliers, and inconsistencies.

    When you're finished with this course, you'll have the skills and knowledge of statistical analysis needed to perform comprehensive exploratory data analysis and ensure reliable insights for decision-making.


    Exploratory Data Analysis (EDA) with R