A chart is a graphical visual representation for data visualization, in which "symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart represent the dataCharts are visual expressions of data. Charts vary widely in type and can be used in a number of different fields and real-world applicationsof data designed to make information easily understandable at a glance
Charts use graphical elements such as lines, bars, points, and slices to convey numerical or categorical information
They play a crucial role in data visualization, making complex datasets more accessible and aiding in the interpretation of patterns, trends, and relationships within the data
Here are brief explanations of some common types of charts:
Types of Charts
There are nine types of chart
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Column Chart
A column chart is a method of displaying data with categories represented by a rectangle
In column charts, categories are typically organized along the horizontal axis and values along the vertical axis
Column charts make things easy, immediate, and understandabletype of graph that uses vertical bars to represent data values. The length of each column corresponds to the magnitude of the data it represents
Column charts are particularly effective for comparing values across different categories or displaying the distribution of a dataset
The x-axis typically represents categories, while the y-axis represents the scale of the data
Column charts are straightforward, making them a popular choice for visually presenting simple comparisons and trends in data
Group Column Chart
The A grouped column chart presents quantitative values for categories and additional categorical dimensionsThis is ideal if you want to give a quick overview of something as you would do with a column chart but add more information with the help of additional columnschart is a type of chart that displays multiple sets of data using vertical bars grouped together side by side
Each group of columns represents a distinct category, and within each group, individual columns represent different series or subcategories. This format allows for easy comparison of values within each category as well as across different categories
Grouped column charts are useful when you want to show variations and comparisons of multiple datasets simultaneously, making it visually clear and accessible for the audience to analyze and interpret the data
Stacked Bar Chart
A stacked bar chart is a type of bar chart that portrays the compositions and comparisons of several variables through time
Stacked charts usually represent a series of bars or columns stacked on top of one another. They are widely used to effectively portray comparisons of total values across several categories
Stacked Column Chart
Stacked Column Chart comprises several column series stacked vertically, one on another. The length of each series is determined by the value in each data point
stacked column chart can display data using rectangular bars where the length of the bar is proportional to the data valuegraph that uses horizontal bars to represent data values, with each bar divided into segments that stack on top of each other. Each segment within a bar represents a different category or component, and the full bar represents the total value for that particular category
Stacked bar charts are useful for illustrating the total and how it is divided into subcategories. They provide a visual representation of both the individual components and the overall composition of each category, making it easy to compare the contribution of each segment to the whole
Stacked Column Chart
A stacked column chart is a type of graph that uses vertical bars to represent data values, and each bar is divided into segments that stack on top of each other. Each segment within a bar represents a different category or component, and the full height of the stacked column represents the total value for that particular category
This type of chart is effective for showing both the individual values of each segment and the cumulative total for each category
Stacked column charts are useful when you want to emphasize the overall composition of each category while still maintaining visibility of the contribution of individual components. They are commonly used to display the distribution of data and the relative proportions of different subcategories within each main category
Bar Chart
A bar chart plots numeric values for levels of a categorical feature as bars. Levels are plotted on one chart axis, and values are plotted on the other axis. Each categorical value claims one bar, and the is a graphical representation of data using rectangular bars or columns to show the values of different categories. The length of each bar corresponds to the magnitude of the bar's value
A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value
The rectangles drawn on the bar charts are called “bars”
Grouped Bar Chart
Grouped bar charts are Bar charts in which multiple sets of data items are compared, with a single color used to denote a specific series across all sets
Grouped Bar Charts are used when two or more data sets are displayed side-by-side and grouped together under categories on the same axisdata it represents
The bars can be either vertical (column chart) or horizontal (bar chart), depending on the orientation
Key features of a bar chart:
Categories: The x-axis typically represents categories or labels that are being compared
Values: The y-axis represents the scale of the data, indicating the values associated with each category
Bars: Each bar is drawn for a specific category, with its length proportional to the value it represents
Bar charts are versatile and straightforward, making them one of the most widely used types of charts for displaying and comparing data in a visual format
Grouped Bar Chart
A grouped bar chart is a variation of the standard bar chart that displays multiple sets of data using bars grouped together side by side
Each group of bars represents a distinct category, and within each group, individual bars represent different series or subcategories
Key features of a grouped bar chart:
Categories: The x-axis typically represents categories or labels
Values: The y-axis represents the scale of the data, indicating the values associated with each category
Groups: Bars within each group are positioned next to each other, allowing for easy visual comparison of values within the same category
This type of chart is particularly useful when you want to compare values across different categories and within each category, compare the contributions of various subcategories or series. It provides a clear visual representation of the relationships and differences between multiple datasets
Pie Chart
A pie chart , dividing the is a circular statistical graphic into sectors
This type of chart is a circle divided into a series of segments. Each segment represents a particular category
Here, the term “pie” represents that is divided into slices to illustrate numerical proportions. In a pie chart, each slice represents a proportionate part of the whole, and the “slices” represent the parts of the whole
It contains different segments and sectors in which each segment and sector of a pie chart forms a specific portion of the total(percentage). The sum of all the data is equal to 360°
size of each slice is proportional to the quantity it represents. The entire circle represents 100%, and each slice represents a percentage of that whole
Key features of a pie chart:
Slices: Each slice represents a category or component of the data being visualized
Proportions: The size of each slice is proportional to the quantity it represents relative to the whole
Totality: The sum of all the slices adds up to 100%, representing the entirety of the data
Color or Patterns: Different colors or patterns are often used to distinguish between slices
Bullet List
A bullet list is a text formatting technique used to present information in a concise and organized manner
In a bullet list, items are typically preceded by small symbols (bullets) to visually separate and highlight individual points. Each item in the list is typically a short, standalone statement or phrase
Key features of a bullet list:
Bullets: Small symbols, often dots or circles, precede each item in the list
Itemization: Each point in the list is presented as a separate, concise statement
Ordering: Bullet lists are often used for unordered or non-sequential items. For ordered or sequential items, numbers or letters may be used
Line Chart
A line chart is a graphical representation used to display data points connected by straight linesIn a line chart, category data is distributed evenly along the horizontal axis, and all value data is distributed evenly along the vertical axistype of graph that displays data points over a continuous interval or time span, connecting them with straight lines. This visual representation helps to show trends, patterns, and relationships between variables
Line charts are effective for illustrating changes in data over time or across ordered categories
Key features of a line chart:
Axes: The x-axis typically represents the independent variable (such as time or categories), while the y-axis represents the dependent variable (the data values)
Data Points: Each data point is marked on the chart, and a line connects these points, emphasizing the trend or pattern
Trends: Line charts are particularly useful for visualizing trends, showing whether values are increasing, decreasing, or remaining relatively constant
Multiple Lines: You can have multiple lines on the same chart, making it easy to compare trends between different data series
Markers: Data points are often marked with dots or other symbols to enhance visibility
Attributes
Model
All the models will be displayed in the list that you have created using an object, you can choose the specific model
Models are used to display content in the layout
You need to create a multi-record model for a Table component, refer to this Models
Create New Model: You can either choose the model from the list or you can create the new model by clicking on “Create New Model“Option for your table
Chart Title
You can give the Title of the Table
The Chart Title is a content control placed The chart title is a text element that provides a brief description or label for a chart that appears on the middle top of the chart
It is usually positioned at the top of each chart control. It is used to display any title information regarding the visualized chartThe chart title is a label that appears on the middle top of the chartthe chart and serves to convey the primary purpose or context of the chart to the viewer
The title helps users understand the key information or message the chart is intended to communicate. It is an important component of chart design, contributing to the overall clarity and interpretability of the visual representation of data
Merge Text-
Label Field
The label is visible as value on the X-AxisIn the
The label field in a chart refers to the textual information associated with data points, categories, the fields are visible which are present in the assigned modelSelect a field whose values you want to display in the X-Axisor axes
Labels provide context and clarification, making the chart more understandable. In various types of charts, labels may include axis labels (for x-axis and y-axis), data point labels, category labels, or any other descriptive text that aids in interpreting the chart. These labels help users identify and comprehend the significance of different elements within the chart
Value Field
The value is visible as value on the Y-Axis
In the value field, the fields are visible which are present in the assigned model
Select a field whose values you want to display in the Y-AxisThe value field in a chart refers to the numerical data that is being represented graphically
It represents the actual quantitative information or measurements associated with specific data points, categories, or series in the chart. The value field is crucial for understanding the magnitude, scale, and relationships between different elements within the chart
Depending on the type of chart, the value field may correspond to the height of bars, the position of points, or the size of elements, providing a visual representation of the underlying numerical data
Show X Axis Label
Show X-Axis label checkbox If it is checked, the label will be visible on X-Axis otherwise not
X Axis Label
The x-axis label in a chart is the description or values along the horizontal axis, providing context for the data represented in the chart
The label appears at the bottom of the chart
Merge Text-
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Show Y-Axis label checkbox If it is checked, the label will be visible on Y-Axis otherwise not
Y Axis Label
The y-axis label in a chart is the description or values along the vertical axis, indicating the scale and context for the dependent variable in the chart
The label appears at the left of the chart
Merge Text-
Show Legend
The Show Legend option in a chart enables or disables the display of a key that identifies the different data series or elements within the chart
Show Legend checkbox If it is checked, the title will appear on the right side of the chart otherwise not
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There are optional titles for the chart, for the X axis
The Legend in charts so that your users clearly understand which dimension is displayed in the chart
A data label is a text providing additional information, for example about a data point
A legend is a key that explains the colors in a Title in a chart is the label or heading that provides a title for the legend, which is a key explaining the symbols or colors used to represent different elements or data series in the chart
Merge Text-
Background Theme
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A theme is used to determine the coloring and hues that display in the charts
For example, the default border color and chart colors are determined by the theme
Types of Background Theme
Air- This scheme often includes light and airy colors, creating a sense of openness and tranquility
Aqua- Inspired by water and aquatic themes, the aqua color scheme typically features shades of blue and green
Cool- This scheme features cool tones, including various shades of blue and green. It can create a calm and refreshing visual experience
Fire- Inspired by warm colors, the fire color scheme includes shades of red, orange, and yellow. It's suitable for creating charts with a warm and energetic feel
Flame- Similar to the fire scheme, flame includes warm colors associated with flames, such as reds, oranges, and yellows
Forest-
Horizon-
Natural- A softer and more subdued color scheme, often mimicking natural tones. It's a good choice for a more calming and neutral appearance
Neons-
Night-
Night Lights-
Ocean-
Picnic-
Solar- A scheme with bright and sunny colors, invoking a sense of warmth and brightness
Vivid- A vibrant and colorful scheme with high saturation, suitable for creating visually striking chart
Is Animation Enabled?
Show Gradient
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