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The "modeling" stage in the data analysis process refers to the application of statistical, machine learning, or other analytical methods to make predictions or discover patterns in the data. During this phase, analysts typically build models using the cleaned and transformed data, applying techniques like regression analysis, clustering, or decision trees to extract insights or predict future trends. The goal of modeling is to provide actionable insights based on data patterns, which can guide business decisions or strategies. This stage is crucial for developing predictive analytics models or understanding correlations in the data. Option A (To clean and preprocess raw data) is incorrect because cleaning and preprocessing are part of the earlier stages of data analysis. Option B (To visualize the data through charts and graphs) is important for communication but occurs after modeling, not during the modeling phase. Option D (To create dashboards for reporting) is part of the later steps in the data analysis process, primarily after the modeling and interpretation of results. Option E (To gather data from various sources) is part of the "data collection" phase, which happens before modeling.
Find the wrong number in given number series.
2206, 2230, 2278, 2394, 2566, 2950
128 384 48 144 20 54
1728, 1762, 1804, 1854, 1912, 1978
213, 215, 225, 257, 313, 393
Find the wrong number in the given number series.
4, 8, 24, 84, 480, 2880
Find the wrong number in given number series.
2835, 3460, 3335, 3360, 3354, 3356
Identify the term in the sequence that does not fit, and then determine the 9th term of the corrected series. The answer choices are formatte...
112, 119, 133, 154, 180, 217
2824 2314 1973 1759 1634 1574
1990,1877, 1794, 1711, 1638