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How to calculate the ROI of a data visualization component

Cambridge Intelligence

How do you measure the value of adding data visualization to your web app? If you choose to build a visualization component using a data visualization library, what is that investment worth? You’ll be able to justify whether or not data visualization is a sound investment that’ll reap rewards.

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How to Spot Misleading Charts, a Checklist

Tableau

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Data Visualization expert and author Kathy Rowell says that we should always ask “Compared to What?”,

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IBM and Microsoft partnership accelerates sustainable cloud modernization

IBM Journey to AI blog

According to the IT Sustainability Beyond the Data Center report from the IBM Institute for Business Value, some estimates suggest that there has been a 43% absolute increase in the power capacity demand by data center operators between 2018 and 2021, and that the global data center market will grow by more than 30% between 2021 and 2027.

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ML | Data Preprocessing in Python

Pickl AI

With the explosion of data in recent years, it has become essential for data scientists and Machine Learning practitioners to understand and effectively apply preprocessing techniques. In Python, commonly used libraries include: Pandas: For data manipulation and analysis, particularly for handling structured data.

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Top 10 Jobs in AI and the Right AI Skills

Pickl AI

million by 2027. They employ statistical methods and machine learning techniques to interpret data. Key Skills Expertise in statistical analysis and data visualization tools. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions.

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Understanding Data Science and Data Analysis Life Cycle

Pickl AI

It’s crucial to grasp these concepts, considering the exponential growth of the global Data Science Platform Market, which is expected to reach 26,905.36 Similarly, the Data and Analytics market is set to grow at a CAGR of 12.85% , reaching 15,313.99 billion INR by 2027. billion INR by 2026, with a CAGR of 27.7%.

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Netflix Data Analysis using Python

Mlearning.ai

The value ‘TV-MA’ appears the most frequently, occurring 2027 times, followed by ‘TV-14’ with 1698 occurrences. For other columns like date added, duration, and rating, since the null value counts are so low, we shall just drop them from the dataset. df = df.dropna() df.isnull().sum() sum() df['rating'].value_counts()