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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 9-5: Five routes by which data science impacts business.FIGURE 9-6: A simple business use case diagram.

9 Chapter 10FIGURE 10-1: AI-enabled robotics automation.FIGURE 10-2: Diagram of a debt-recovery business use case.FIGURE 10-3: Diagram of a logistics-routing business use case.FIGURE 10-4: Diagram of a content publishing business use case.

10 Chapter 11FIGURE 11-1: A channel scorecard.

11 Chapter 12FIGURE 12-1: The data-to-dollars flowchart.FIGURE 12-2: The business intelligence path within the data-to-dollars flowchar...FIGURE 12-3: An example of a modern, SaaS BI tool.FIGURE 12-4: The analytics path within the data-to-dollars flowchart.FIGURE 12-5: An example of analytics that report on real-time data.FIGURE 12-6: An example of analytics that report on external data.FIGURE 12-7: The data science path within the data-to-dollars flowchart.FIGURE 12-8: A business use case diagram for automated decision support AI for ...

12 Chapter 13FIGURE 13-1: NLP enabled affective computing.FIGURE 13-2: Sentiment analysis flowchart.FIGURE 13-3: An example of raw data ingested into an NLP system.FIGURE 13-4: An example of text normalization.FIGURE 13-5: An example of text tokenization.FIGURE 13-6: Forrester's estimated ROI for a client.

13 Chapter 14FIGURE 14-1: The three main ways to monetize data.FIGURE 14-2: The value proposition of personal data in advertising.

14 Chapter 15FIGURE 15-1: The classic power dynamic within a data science team.FIGURE 15-2: The need for business vision, mission, and values.FIGURE 15-3: My STAR framework, for managing profit-forming data science projec...FIGURE 15-4: An example of data architecture.FIGURE 15-5: A list of popular data technologies, broken down according to func...FIGURE 15-6: The structure of a data dictionary.FIGURE 15-7: The relationship between a dataset and the data dictionary that de...FIGURE 15-8: An example of data quality and silo issues.FIGURE 15-9: An organizational chart.FIGURE 15-10: Some foundations from which great data professionals emerge.FIGURE 15-11: Questions and recipients inside my question-and-asset request dat...FIGURE 15-12: Some filtered questions, ready to send to relevant finance person...

15 Chapter 16FIGURE 16-1: Assessing your company’s current state.

16 Chapter 17FIGURE 17-1: Recommending a plan of action.FIGURE 17-2: An example of reference architecture.

17 Chapter 18FIGURE 18-1: Potential roles that can take you from entry-level to senior-level...FIGURE 18-2: Potential roles that can take you from entry-level to senior-level...FIGURE 18-3: Potential roles that can take you from entry-level to senior-level...FIGURE 18-4: The four types of currency.FIGURE 18-5: Data scientists, broken down by degree types. FIGURE 18-6: Data scientists, broken down by field of study. FIGURE 18-7: A map from within Jake Vanderplas’s instructional coding demonstra...FIGURE 18-8: The four best business models for remote, self-funded data science...FIGURE 18-9: The four best business models for remote, self-funded data science...

18 Chapter 19FIGURE 19-1: The index of insect records in Knoema’s search.FIGURE 19-2: The index of Apple records in a Quandl search.

19 Chapter 20FIGURE 20-1: An ImageQuilts output from the Google Images search term data scie...FIGURE 20-2: A moderate-size graph on characters in the novel Les Misérables....FIGURE 20-3: A Gephi hairball graph of the US power grid.FIGURE 20-4: An interactive choropleth map in CARTO.FIGURE 20-5: An interactive bubble map in CARTO.FIGURE 20-6: A diagram from RAWCharts.FIGURE 20-7: A bar chart in Infogram.FIGURE 20-8: A bar chart in Piktochart.

Data Science For Dummies

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