Mote The Analyst.πŸ“ˆπŸ“ŠπŸ“‰(@MoteAnalyst) 's Twitter Profile Photo

4/8 Pros of Power BI:

Interactive dashboards: Power BI's interactive dashboards allow users to explore data dynamically, drill down into details, and gain valuable insights quickly.

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Eddy Abiya(@abee_yah) 's Twitter Profile Photo

Having a curious mind is key to data exploration. Embrace a curious mindset, ask yourself questions, and let your data guide you to new discoveries and actionable insights. This an unspoken skill that many people will not tell you.

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Orbition Group(@Orbition_Group) 's Twitter Profile Photo

Stay curious and explore diverse data sources beyond your comfort zone. Cross-disciplinary analysis often uncovers unexpected connections and insights.

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Dr Abdul Ali(@dr_abdulali125) 's Twitter Profile Photo

Understanding statistical analysis πŸ“ŠπŸ”

Statistical analysis involves exploring and summarizing data to uncover patterns and relationships.

Learn essential statistical concepts, descriptive statistics, and data distributions in R.

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Jasan Gill(@JasanGill28) 's Twitter Profile Photo

πŸ“Š ExcelGPT Use Cases 🧡

1️⃣ Data Exploration: Easily analyze and explore large datasets by asking questions about the data structure, trends, patterns.

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CareerAI(@AICareerLab) 's Twitter Profile Photo

In this article, we’re going to cover 11 data exploration tools that are specifically designed for exploration and analysis. hubs.li/Q01BPvYw0

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π‘€π“Šπ“ˆπ’½π’Άπ“‡π’Άπ’» π’œπ’½π“ˆπ’Άπ“ƒ(@Musharaf_Ahsan_) 's Twitter Profile Photo

Step 8️⃣: Interact with your report Now comes the exciting part! Interact with your Power BI report directly within Jupyter Notebook. Explore the visualizations, apply filters, and gain deeper insights into your data. πŸ”„πŸ”

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Muhammad Ali Butt(@Data_Maestro) 's Twitter Profile Photo

2/πŸ“Š Step 1: Data Exploration
Dive deep into your dataset to understand its structure, identify patterns, and spot potential issues. Use visualization tools to get a better grasp of your data.

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_ramon_.io(@ramonjgonzalezp) 's Twitter Profile Photo

In addition to bar and line graphs, Matplotlib allows you to create heat maps, scatter plots, and other types of visualizations to explore your data.

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Iqra Mahmood(@Iqra_Multaji) 's Twitter Profile Photo

2/ Visualizing data allows us to explore patterns and trends that may not be immediately apparent in raw numbers. It brings data to life and helps us uncover valuable insights.

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Past Factory(@Past_Factory) 's Twitter Profile Photo

Having dug deep into the history of The Flintstones and delved into the behind scenes secrets of the show we've come up with 25 secrets you never knew about The Flintstones for you to discover.

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USAFacts(@USAFacts) 's Twitter Profile Photo

Don't settle for half-baked information. USAFacts serves you well-prepared, accurate data on the issues that affect you most.

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Statistical Horizons(@StatHorizons) 's Twitter Profile Photo

Have you ever wondered about where to begin with data cleaning, how to ensure data is ready for analysis, or how to make your findings reproducible? Join Bianca Manago for Data Cleaning on June 13-16 to learn the answers to these questions & more!

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