Bigdata
- 1. TYPE OF CHART BY, B.Sakthibala, ll-M.sc(cs) Nadar saraswathi college of arts&science Department of CS&IT,
- 2. Contents Types of Charts - Overview Column Charts Bar Charts Pie Charts Doughnut Charts Line Charts Area Charts Scatter Charts Spider and Radar Charts Gauge Charts Comparison Charts
- 3. Data visualization ⇨ Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. 3
- 4. Types of Charts - Overview Generally, the most popular types of charts are column charts, bar charts, pie charts, doughnut charts, line charts, area charts, scatter charts, spider (radar) charts, gauges, and comparison charts. Here is a quick view of all of these types of charts. The biggest challenge is how to select the most effective type of chart for your task.
- 5. “ column Bar pie Doughtnut line Area scatter spider and reader Gauges comparisons 5
- 6. ⇨ Column Charts ⇨ Column charts are effective for the comparison of at least one set of data points. The vertical axis, also known as the Y-axis, is often shown in numeric values. The X-axis on the horizontal line indicates a period. 6
- 7. Bar Charts Bar charts are for comparing concepts and percentages among factors or sets of data. Users can set different distinct choices for your respondents, for example, annually or quarterly sales. You can see bar charts are similar to what column charts lying on its X-axis. 7
- 8. If you are not sure about when to insert a bar chart for your work, you should think about the specific kind of your original data and your personal preference. Usually, compared to other types of charts, bar charts are better for showing and comparing vast sets of data or numbers. cont., 8
- 9. ⇨ Pie Charts ⇨ Pie charts are useful for illustrating and showing sample break down in an individual dimension. It is in the shape of a pie to show the relationship between your data's main and sub-categories. It is good to use when you are dealing with categorized groups of data, or if you want to show differences among data based on a single variable. . 9
- 10. ⇨ Doughnut Charts ⇨ Doughnut charts are very similar to pie charts in terms of the area in the center cut out. Doughnut charts have several elements, including the division of segments, and the meaning of arc of an individual section. Doughnut charts are suitable for presenting the relationship between the proportions of different data groups. In this case, users can focus on the proportional areas of the slices. Doughnuts also cover more details than pie charts via their blank space. ⇨ 10
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- 12. 12 Line Charts This type of chart is normally used for explaining trends over periods. The vertical axis always displays a numeric amount, while the X-axis indicates some other related factors. Line charts can be shown with markers in the shape of circles, squares, or other formats.
- 13. cont., 13 Line charts are not as colorful as other charts, but it is evident for users to see the trend within a specific period for a single set of data. Alternatively, you can compare trends for several different data groups. Managers or financial leaders may use such charts to measure and analyze long-term trends in sales, financial data, or marketing statistics.
- 14. 14 Find more maps at slidescarniv Area Charts Area charts are very similar to line charts, but the previous ones have solid plot lines. Area charts are ideal for displaying trends over a period for single or several categories, or the change between several data groups. Area charts have two main types: the stacked and the completed stacked area chart. Both of these types can show the nature of your selected data sets.
- 15. ⇨ Scatter Charts ⇨ Scatter charts are ideal for analyzing how different goals settle around the main topic and their various dimensions. For example, you can quickly compare types of products based on budgets and selling prices. Scatter charts have some different elements: markers, points, and straight lines. All of these factors can indicate and connect disparate data units. You can choose to draw a scatter chart only in markers or lines. Generally, markers are ideal for small data points, while lines are useful for large data points. 15
- 16. Cont., Scatter charts have similar points with line charts since they both use vertical and horizontal axes to show different data points, but scatter types can also show the degree of difference in one variable to the other, which is known as correlation. Correlations can be positive, negative, or equals to zero. Positive ones, for example, mean data increases simultaneously most of the time based on the given time. 16
- 17. 17 Spider and Radar Charts Spider and radar charts are also known as web charts, star charts, or polar charts. If you have a large set of different data groups, using spider and radar charts are better than column ones. The radar chart is useful for showing multiple data groups in terms of 2D diagrams of at least three variables on axes.
- 18. Cont., Human resource (HR) managers usually use the spider or radar charts for checking the skill pattern of different employee groups and their career performance. Besides, product managers in IT or trading organizations can use such charts to compare different products over a wide range of features, like showing a set of various smart electrics based on their quality, battery figures, appearance, and processors. Therefore consumers can easily and quickly choose the best option based on their preference. 18
- 19. Gauge Charts Factors in gauge charts regularly show as individual value. Such indicators are usually in red for the wrong message, or in green ones for correct ones. Gauge charts are ideal for showing KPIs (Key Performance Indicators), especially for business plans. Therefore they are usually used by managers or employers for ongoing assignments. 19
- 20. ⇨ Comparison Charts ⇨ Comparison charts, also known as cluster diagrams, are typically used to compare between at least two objects, units, or groups of data. The chart can provide a visual comparison of both qualitative and quantitative details. There are types of comparison charts, including comparisons between components, items, time series, correlations, and distributions frequency. The primary purpose of comparison charts is to show an outline of possibilities for different circumferences. ⇨ 20
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- 22. 22 Cont., The uses of comparison diagrams covering research topics, the decision-making process for both business and science subjects. For larger organizations, decision-makers may need an all- around comparison with rich details to analyze the progress of different data groups and data from competitors over time.
- 23. Thank you 23