Data Science For Dummies. Lillian PiersonЧитать онлайн книгу.

      1 Chapter 5TABLE 5-1: Business Analyst Stu’s Employee Data

      2 Chapter 6TABLE 6-1: Popular Operators

      3 Chapter 8TABLE 8-1: Types of Data Visualization, by Audience

      4 Chapter 10TABLE 10-1 Operational Improvement Use Cases for Data Science, by IndustryTABLE 10-2 Theoretical Business Use Case for Automating Client InteractionsTABLE 10-3 Theoretical Technology Stack for Automating Client InteractionsTABLE 10-4: Theoretical Business Use Case for Real-Time Optimized Logistics Rout...TABLE 10-5 Theoretical Technology Stack for Real-Time Optimized Logistics Routin...TABLE 10-6 Theoretical Business Use Case for Increasing Content-Generation RatesTABLE 10-7 Theoretical Technology Stack for Increasing Content Generation Rates

      5 Chapter 12TABLE 12-1 Theoretical Business Use Case for Analyzing Customer SentimentTABLE 12-2 Theoretical Business Use Case for Real-Time Decision SupportTABLE 12-3 Theoretical Technology Stack for Automating Client Interactions

      6 Chapter 13TABLE 13-1: An Example of n-grams in Phrase and Entity Analysis

      1 Chapter 2FIGURE 2-1: Popular sources of big data.

      2 Chapter 3FIGURE 3-1: A example of a simple random sampleFIGURE 3-2: Unsupervised machine learning breaks down unlabeled data into subgr...FIGURE 3-3: Machine learning algorithms can be broken down by function.FIGURE 3-4: Neural networks are connected layers of artificial neural units.FIGURE 3-5: A deep learning network is a neural network with more than one hidd...

      3 Chapter 4FIGURE 4-1: An example of a linear relationship between months and YouTube subs...FIGURE 4-2: An example of a non-linear relationship between watch time and % vi...FIGURE 4-3: Applying SVD to compress a sparse, clean dataset.FIGURE 4-4: Applying SVD to clean and compress a sparse, dirty dataset.FIGURE 4-5: You can use SVD to decompose data down to u, S, and V matrices.FIGURE 4-6: Linear regression used to predict home prices based on the number o...FIGURE 4-7: Spotting outliers with a Tukey boxplot. FIGURE 4-8: Using PCA to spot outliers. FIGURE 4-9: A comparison of patterns exhibited by time series.FIGURE 4-10 An example of an ARMA forecast model.

      4 Chapter 5FIGURE 5-1: A simple scatterplot.FIGURE 5-2: A simple scatterplot, showing eyeballed estimations of clustering.FIGURE 5-3: KDE smoothing of the World Bank’s Income and Education data scatter...FIGURE 5-4: A schematic layout of a sample dendrogram.FIGURE 5-5: Using DBScan to detect outliers (in black) within the Iris dataset....FIGURE 5-6: A decision tree model predicts survival rates from the Titanic cata...FIGURE 5-7: Using the Continent feature to classify World Bank data.FIGURE 5-8: The distances between the employees’ tuples.FIGURE 5-9: Finding the average similarity between employees.FIGURE 5-10: How kNN works.

      5 Chapter 6FIGURE 6-1: Sample output from Python’s MatPlotLib library.FIGURE 6-2: Time-series plot of monthly snow depth data.FIGURE 6-3: The relationship between atomic vectors, lists, and data frame obje...FIGURE 6-4: Linear regression coefficients from R, translated into a plain math...FIGURE 6-5: A scatterplot, generated in the ggplot2 package.FIGURE 6-6: A network diagram that was generated using the statnet package.

      6 Chapter 7FIGURE 7-1: An example of how SQL is human-readable.FIGURE 7-2: A relationship between data tables that share a column.FIGURE 7-3: The full dataset that tracks employee sales performance.FIGURE 7-4: The sales performance dataset, filtered to show only Abbie’s record...FIGURE 7-5: Spotting outliers in a tabular dataset with conditional formatting ...FIGURE 7-6: Spotting outliers in a tabular dataset with color scales.FIGURE 7-7: Excel XY (scatter) plots provide a simple way to visually detect ou...FIGURE 7-8: Excel line charts make it easy to visually detect trends in data.FIGURE 7-9: A long dataset and a wide spreadsheet.FIGURE 7-10: Creating a wide data table from the long dataset via a PivotTable.FIGURE 7-11: Using a macro to insert empty cells between values.

      7 Chapter 8FIGURE 8-1: This design style conveys a calculating and exacting feel.FIGURE 8-2: This design style is intended to evoke an emotional response.FIGURE 8-3: Data visualization versus data graphics.FIGURE 8-4: Types of data graphics, broken down by audience and data visualizat...FIGURE 8-5: An area chart in three dimensions. FIGURE 8-6: A bar chart showing the area of US states by their acreage, in thou...FIGURE 8-7: A line chart. FIGURE 8-8: A pie chart. FIGURE 8-9: A bubble chart.FIGURE 8-10: A packed circle diagram.FIGURE 8-11: A Gantt chart.FIGURE 8-12: A stacked chart.FIGURE 8-13: A tree map.FIGURE 8-14: A simple word cloud.FIGURE 8-15: A histogram. FIGURE 8-16: A scatterplot. FIGURE 8-17: A scatterplot matrix. FIGURE 8-18: A linear topology.FIGURE 8-19: A graph mesh network topology.FIGURE 8-20: A hierarchical tree topology.FIGURE 8-21: A Cloropleth map. FIGURE 8-22: A point map.FIGURE 8-23: A raster surface map.FIGURE 8-24: Here you see the importance of selecting effective data graphics.FIGURE 8-25: Using annotation to create context. FIGURE 8-26: Using graphical elements to create context.

      8 Chapter 9FIGURE 9-1: The data science Venn diagram.FIGURE 9-2: The mechanics by which traditional data roles increase business pro...FIGURE 9-3: The three layers of the business acumen cake.FIGURE 9-4: My STAR framework, for managing profit-forming data science project...FIGURE