What Type Of Diagram Chart In A Service Manual Can Be Used To Easily Service An Electronic Circuit

If you are wondering what are the different types of graphs and charts , their uses and names, this folio summarizes them with examples and pictures.

As the unlike kinds of graphs aim to stand for data, they are used in many areas such as: in statistics, in data science, in math, in economics, in business concern and etc.

Every type of graph is a visual representation of data on diagram plots (ex. bar, pie, line nautical chart) that show unlike types of graph trends and relationships between variables.

Although information technology is hard to tell what are all the types of graphs, this page consists all of the mutual types of statistical graphs and charts (and their meanings) widely used in any scientific discipline.

ane. Line Graphs

A line nautical chart graphically displays data that changes continuously over time. Each line graph consists of points that connect data to show a trend (continuous change). Line graphs have an 10-axis and a y-axis. In the near cases, fourth dimension is distributed on the horizontal axis.

Uses of line graphs:

• When you wantto bear witness trends. For example, how house prices have increased over time.
• When you wantto make predictions based on a information history over time.
• When comparing two or more than different variables, situations, and information over a given catamenia of time.

Example:

The post-obit line graph shows annual sales of a particular business organisation visitor for the period of six consecutive years:

Note: the to a higher place case is with ane line. However, one line chart tin can compare multiple trends by several distributing lines.

2. Bar Charts

Bar charts represent categorical data with rectangular confined (to understand what is categorical information see categorical information examples). Bar graphs are among the near popular types of graphs and charts in economics, statistics, marketing, and visualization in digital client experience. They are commonly used to compare several categories of data.

Each rectangular bar has length and height proportional to the values that they represent.

I centrality of the bar chart presents the categories existence compared. The other axis shows a measured value.

Bar Charts Uses:

• When you want to display data that are grouped into nominal or ordinal categories (see nominal vs ordinal data).
• To compare data among different categories.
• Bar charts tin can also show largedata changes over time.
• Bar charts are ideal for visualizing the distribution of information when nosotros have more than three categories.

Instance:

The bar chart beneath represents the total sum of sales for Product A and Production B over three years.

The bars are 2 types: vertical or horizontal. It doesn't affair which kind you volition use. The in a higher place i is a vertical type.

3. Pie Charts

When information technology comes to statistical types of graphs and charts, the pie chart (or the circle chart) has a crucial identify and meaning. It displays data and statistics in an easy-to-understand 'pie-slice' format and illustrates numerical proportion.

Each pie slice is relative to the size of a detail category in a given group equally a whole. To say it in some other mode, the pie chart brakes downward a group into smaller pieces. It shows role-whole relationships.

To brand a pie chart, yous need a listing of categorical variables and numerical variables.

Pie Chart Uses:

• When you desire to create and represent the composition of something.
• Information technology is very useful for displaying nominal or ordinal categories of data.
• To show pct or proportional information.
• When comparison areas of growth within a concern such every bit profit.
• Pie charts piece of work best for displaying information for 3 to 7 categories.

Example:

The pie chart below represents the proportion of types of transportation used by 1000 students to go to their school.

Pie charts are widely used past data-driven marketers for displaying marketing data.

four. Histogram

A histogram shows continuous data in ordered rectangular columns (to sympathize what is continuous data see our mail discrete vs continuous data). Unremarkably, there are no gaps betwixt the columns.

The histogram displays a frequency distribution (shape) of a data set. At first glance, histograms look akin to bar graphs. However, there is a key difference between them. Bar Chart represents chiselled information and histogram correspond continuous data.

Histogram Uses:

• When the data is continuous.
• When you want to correspond the shape of the data's distribution.
• When y'all desire to encounter whether the outputs of two or more processes are dissimilar.
• To summarize large data sets graphically.
• To communicate the information distribution chop-chop to others.

Example:

The histogram below represents per capita income for 5 age groups.

Histograms are very widely used in statistics, concern, and economics.

5. Scatter plot

The besprinkle plot is an X-Y diagram that shows a relationship between two variables. It is used to plot information points on a vertical and a horizontal axis. The purpose is to show how much one variable affects another.

Normally, when there is a relationship between 2 variables, the kickoff one is called independent. The second variable is chosen dependent considering its values depend on the first variable.

Besprinkle plots too help you lot predict the behavior of i variable (dependent) based on the measure of the other variable (independent).

Besprinkle plot uses:

• When trying to find out whether there is a human relationship between 2 variables.
• To predictthe behavior of dependent variable based on the measure of the independent variable.
• When having paired numerical data.
• When working with root crusade assay tools to identify the potential for problems.
• When you just want to visualize the correlation between 2 big datasets without regard to time.

Example:

The below Scatter plot presents data for vii online stores, their monthly e-commerce sales, and online advertising costs for the last yr.

The orange line you see in the plot is called "line of best fit" or a "trend line". This line is used to help us make predictions that are based on past information.

The Scatter plots are used widely in information science and statistics. They are a great tool for visualizing linear regression models.

More than examples and explanation for besprinkle plots you can see in our post what does a scatter plot bear witness and elementary linear regression examples.

6. Venn Nautical chart

Venn Diagram (also called chief diagram, fix diagram or logic diagrams) uses overlapping circles to visualize the logical relationships between two or more than group of items.

Venn Diagram is one of the types of graphs and charts used in scientific and engineering presentations, in computer applications, in maths, and in statistics.

The basic structure of the Venn diagram is normally overlapping circles. The items in the overlapping department have specific common characteristics. Items in the outer portions of the circles do not have common traits.

Venn Chart Uses:

• When you want to compare and contrast groups of things.
• To categorize or group items.
• To illustrate logical relationships from various datasets.
• To identify all the possible relationships between collections of datasets.

Instance:

The post-obit science example of Venn diagram compares the features of birds and bats.

7. Area Charts

Area charts show the alter in 1 or several quantities over time. They are very similar to the line chart. Even so, the expanse between axis and line are usually filled with colors.

Despite line and area charts support the same blazon of analysis, they cannot be e'er used interchangeably. Line charts are often used to represent multiple data sets. Area charts cannot bear witness multiple data sets conspicuously because area charts prove a filled surface area below the line.

Expanse Chart Uses:

• When you lot want to show trends, rather than express specific values.
• To show a simple comparison of the trend of data sets over the period of time.
• To display the magnitude of a alter.
• To compare a small number of categories.

The area chart has 2 variants: a variant with information plots overlapping each other and a variant with data plots stacked on pinnacle of each other (known as stacked surface area nautical chart – as the shown in the following example).

Example:

The expanse chart below shows quarterly sales for production categories A and B for the terminal year.

This area chart shows y'all a quick comparison of the trend in the quarterly sales of Product A and Product B over the catamenia of the final yr.

viii. Spline Nautical chart

The Spline Chart is ane of the most widespread types of graphs and charts used in statistics. It is a form of the line nautical chart that correspond smooth curves through the dissimilar data points.

Spline charts possess all the characteristics of a line chart except that spline charts take a fitted curved line to join the data points. In comparison, line charts connect data points with directly lines.

Spline ChartUses:

• When you want to plot information that requires the usage of bend-fitting such every bit a product lifecycle chart or an impulse-response chart.
• Spline charts are frequently used in designing Pareto charts.
• Spline chart also is frequently used for data modeling by when yous have express number of information points and estimating the intervening values.

Example:

The following spline chart example shows sales of a company through several months of a twelvemonth:

ix. Box and Whisker Chart

A box and whisker chart is a statistical graph for displaying sets of numerical data through their quartiles. It displays a frequency distribution of the data.

The box and whisker nautical chart helps y'all to display the spread and skewness for a given set up of data using the five number summary principle: minimum, maximum, median, lower and upper quartiles. The 'five-number summary' principle allows providing a statistical summary for a particular ready of numbers. It shows yous the range (minimum and maximum numbers), the spread (upper and lower quartiles), and the heart (median) for the fix of data numbers.

A very simple figure of a box and whisker plot yous tin can see below:

Box and Whisker Chart Uses:

• When yous want to detect the upper, lower quartiles, mean, median, deviations, etc. for a large set of data.
• When y'all want to see a quick view of the dataset distribution.
• When you have multiple data sets that come from independent sources and relate to each other in some style.
• When you demand to compare data from unlike categories.

Instance:

The table and box-and-whisker plots below shows test scores for Maths and Literature for the aforementioned class.

Maths	35	77	92	43	55	66	73	70
Literature	35	43	40	43	50	60	70	92

Box and Whisker charts have applications in many scientific areas and types of analysis such as statistical analysis, test results analysis, marketing analysis, data analysis, and etc.

10. Bubble Chart

Bubble charts are super useful types of graphs for making a comparison of the relationships between information in iii numeric-data dimensions: the Y-axis data, the X-axis information, and data depicting the bubble size.

Chimera charts are very similar to XY Scatter plots but the chimera chart adds more functionality – a tertiary dimension of information that tin can be extremely valuable.

Both axes (10 and Y) of a bubble chart are numeric.

Bubble Chart Uses:

• When you have to display three or iv dimensions of data.
• When yous want to compare and display the relationships between categorized circles, past the utilise of proportions.

Example:

The bubble chart below shows the relationship betwixt Price (X-Axis), Profit (Y-Axis), and Probability of Success (%) (Bubble Size).

11. Pictographs

The pictograph or a pictogram is one of the more visually appealing types of graphs and charts that brandish numerical information with the utilise of icons or motion picture symbols to correspond data sets.

They are very easy to read statistical way of data visualization. A pictogram shows the frequency of information as images or symbols. Each image/symbol may represent i or more units of a given dataset.

Pictograph Uses:

• When your audience prefers and understands better displays that include icons and illustrations. Fun tin promote learning.
• It's habitual for infographics to use of a pictogram.
• When you want to compare two points in an emotionally powerful way.

Example:

The following pictographic represents the number of computers sold by a business visitor for the period from January to March.

The pictographic case to a higher place shows that in Jan are sold 20 computers (four×5 = 20), in February are sold thirty computers (6×five = 30) and in March are sold 15 computers.

12. Dot Plot

Dot plot or dot graph is but one of the many types of graphs and charts to organize statistical data. It uses dots to represent data. A Dot Plot is used for relatively pocket-size sets of information and the values autumn into a number of discrete categories.

If a value appears more than one time, the dots are ordered one above the other. That fashion the column acme of dots shows the frequency for that value.

Dot Plot Uses:

• To plot frequency counts when yous have a small number of categories.
• Dot plots are very useful when the variable is quantitative or categorical.
• Dot graphs are too used for univariate data (information with but one variable that yous can measure).

Instance:

Suppose y'all take a form of 26 students. They are asked to tell their favorite color. The dot plot below represents their choices:

Information technology is obvious that blueish is the most preferred colour by the students in this course.

13. Radar Chart

A radar chart is one of the most modern types of graphs and charts – ideal for multiple comparisons. Radar charts employ a round display with several dissimilar quantitative axes looking like spokes on a bike. Each centrality shows a quantity for a different categorical value.

Radar charts are likewise known as spider charts, spider web charts, star plots, irregular polygons, polar charts, cobweb charts or Kiviat diagram.

Radar Chart has many applications nowadays in statistics, maths, business, sports analysis, data intelligence, and etc.

Radar Nautical chart Uses:

• When yous want to observe which variables have similar values or whether there are any outliers amongst each variable.
• To representmultiple comparisons.
• When you want to see which variables are scoring low or high within a dataset. This makes radar chart platonic for displaying performance.

Case:

For instance, we can compare employee's performance with the scale of i-8 on subjects such as Punctuality, Problem-solving, Meeting Deadlines, Marketing Knowledge, Communications. A bespeak that is closer to the center on an axis shows a lower value and a worse performance.

Characterization	Punctuality	Trouble-solving	Coming together Deadlines	Marketing Knowledge	Communications
Jane	six	5	8	7	eight
Samanta	7	5	5	iv	8

It is obvious that Jane has a improve functioning than Samanta.

14. Pyramid Graph

When it comes to easy to understand and good looking types of graphs and charts, pyramid graph has a top place.

A pyramid graph is a nautical chart in a pyramid shape or triangle shape. These types of charts are all-time for data that is organized in some kind of bureaucracy. The levels show a progressive order.

Pyramid Graph Uses:

• When you want to indicate a hierarchy level amidst the topics or other types of data.
• Pyramid graph is often used to correspond progressive orders such as: "older to newer", "more important to least important", "specific to least specific"' and etc.
• When you have a proportional or interconnected relationship between information sets.

Example:

A classic pyramid graph example is the healthy food pyramid that shows fats, oils, and saccharide (at the top) should exist eaten less than many other foods such as vegetables and fruits (at the lesser of the pyramid).

Conclusion:

You might know that choosing the right type of nautical chart is some kind of catchy business concern.

Practically, the choice depends on 2 major things: on the kind of analysis y'all are you desire to perform and on the type of information you have.

Commonly, when we aim to facilitate a comparing, nosotros utilise a bar chart or radar nautical chart. When we desire to show trends over time, we utilise a line nautical chart or an area chart and etc.

Anyhow, you lot have a wide choice of types of graphs and charts. Used in the right fashion, they are a powerful weapon to aid you make your reports and presentations both professional and articulate.

What are your favorite types of graphs and charts? Share your thoughts on the field below.

What Type Of Diagram Chart In A Service Manual Can Be Used To Easily Service An Electronic Circuit,

Source: https://www.intellspot.com/types-graphs-charts/

Posted by: martinezwasight.blogspot.com

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