Just like a baby learns to walk before running, every data scientist should learn to explore data prior to getting accustomed to algorithms.
就像一个婴儿在跑步之前要学会走路,每一位数据科学家在习惯算法之前应该学会探索数据。
Quickly explore data, evaluate models, test assumptions and compare current performance with historical actuals and external benchmarks using drill-down and multidimensional cube slicing-and-dicing .
细分和多维板块可帮助您在几分钟内完成数据查找、模型评估和假设测试工作。 您可将现在的绩效与以前的绩效和外部基准数据进行比较。
The instructions that follow describe how to explore the data structures and applies to data structures shown on all tabs.
紧接其后的指令说明如何探索数据结构,适用于所有选项卡中显示的数据结构。
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