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Data visualization
graphical representation of data and information using displays such as charts, graphs, and maps
Trends, patterns, and distributions of data are more easily comprehended when
data are displayed visually
Analytics
scientific process of transforming data into insights for making better decisions
Developments in Analytics
tech
method
computing and storage
Technological advances
•incredible amounts of data from scanner technology, e-commerce, social networks, sensors, and personal electronic devices such as cell phones.
Methodological developments
•faster algorithms can handle and explore massive amounts of data for data visualization, machine learning, optimization, and simulation.
Explosion in computing power and storage capability
•better computational hardware, parallel computing, and cloud computing, enable businesses to solve larger problems faster and with greater accuracy.
Descriptive analytics
•encompasses a set of analytical tools that describes what has happened in the past.
Descriptive analytics examples
data queries, standard reports, descriptive statistics, data visualization, cluster analysis, and what-if spreadsheet models
Predictive analytics
•consists of analytical tools that use models constructed from past data to predict the future or ascertain the impact of one variable on another.
Predictive analytics examples
linear regression, time series analysis, and predictive data mining.
Prescriptive Analytics
includes mathematical or logical models that indicate the best course of action to take in decision-making
Prescriptive Analytics examples
optimization, simulation, and decision analysis.
We create data visualizations for two reasons:
1.Exploring data
2.Communicating/explaining a message
Quantitative data
Data for which numerical values indicate magnitude. Arithmetic operations can be performed on quantitative data.
Categorical data
Data for which labels or names identify categories of like items. Arithmetic operations cannot be performed on categorical data.
Cross-sectional data
Data collected from several entities over the same time frame
Time series data
Data collected over several time periods.
•A working definition of big data:
•Any set of data too large or too complex to be handled by a desktop computer.
volume
the amount of data generated
velocity
the speed at which the data are generated
Variety
the diversity in types and structures of data generated
Veracity
•the reliability of the data generated
word cloud
visual display containing a document’s key terms.
The size of the word is proportional to the word’s frequency in the document.
Benford’s Law
the First-Digit Law): the proportion of observations in which the first digit is 1 through 9 follows given probabilities.
Benford's Law may help detect
fraud
A High-Low-Close Stock chart
shows the high value, low value, and closing value of the price of a share of stock over time.
shows how the closing price changes over time and the price volatility each day
stacked column chart
shows part-to-whole comparisons, either over time or across categories, using different colors or shades of color.
funnel chart
shows the progression of a numerical variable from larger to smaller values for various categories.
line chart
shows a variable of interest plotted over several time periods. A lone chart helps to understand what happened in the past, identify trends over time, and project future levels.
control chart,
a graphical display of a variable of interest plotted over time relative to lower and upper control limits, helps determine whether a production process is in or out of control
Geographic maps help display
results of complicated predictive models, such as predicting the path of a hurricane.
spaghetti chart
owes its name to the fact that the depiction of multiple flows through a system using a line for each possible path resemble spaghetti
shot chart
displays the location of the shots attempted by a basketball player in a game with different symbols or colors indicating the outcome of a shot.