9. Simlytiks Visualizers¶
Simlytiks deciphers data and transforms it into rich interactive visualizations.
Visualizers¶
Name of the Visualizer | Type | Description |
---|---|---|
Table | Table | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
Pivot Table | Pivot | Pivot table is a type of data visualization designed to help extract useful insights from raw datasets |
Vertical Bar chart | Barchart | A vertical bar graph is a data representation technique that depicts the data using vertical rectangular bars |
Scatter plot | Bubble Chart | A Scatter plot uses dots to represent values for two different numeric variables |
Parallel Chart | Parallel Coordinates | This visualizer helps to multi-dimensions in a 2D space. If the order of the columns are chosen wisely, this visualizer can provide deep insights into the data |
Line Chart | Linechart | A line chart, also referred to as a line graph or a line plot, connects a series of data points using a line. |
Donut Chart | DonutChart | Donut charts are used to show the proportions of categorical data, with the size of each piece representing the proportion of each category. |
Curve Plot | CurveChart | This visualizer plots time-history data and is helpful when both X and Y data are numbers. The color, line and opacity of the curves can be based on other columns which allows visualizing upto 5 dimensions. |
Box Plot | Box plot | This visualizer helps to show the distribution of the data with quartiles and to aid in identifying the outliers |
Violin Plot | Violin Plot | This visualizer helps to show the distribution of the data with quartiles and to aid in identifying the outliers |
Distributed Box plot | Multiboxplot | This visualizer helps to show the distribution of the data with quartiles and to aid in identifying the outliers |
Frequency Box Plot | Frequency Plot | This visualizer helps to show the distribution of the data with quartiles and to aid in identifying the outliers |
Summary Table | Summary Table | Customize your own table with number of rows and columns |
Decesion Table | Decision Table | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
Filterable Table | Filterrable Table | This is the table view that cam use filters within the same view |
Ranking Table | Ranking Table | This is the table view that helps to rank a dataset based on weights assigned to numerical columns. |
Distribution Plot | Distribution Plot | This visualizer helps to show the distribution of the data with quartiles and to aid in identifying the outliers |
Gallery | Image Gallery | This visualizer helps to view images and movies (GIF, MOV, MP4) with ability to play, pause and overlay them at different states. Sorting, opacity and size can be controlled by other columns. |
IIHS intrusions | IIHS | This visualizer helps to visualize numbers based on certain criteria for each of the columns. The criteria can be a one or more. |
Hexagonal Chart | Hexagonal | This visualizer helps to visualize binned data. This is useful to visualize pattens in large datasets. |
Density Contour Plot | Density Contour | This visualizer helps to visualize binned data. This is useful to visualize pattens in large datasets. |
KDE Plot | KDE | This visualizer helps to visualize binned data. This is useful to visualize pattens in large datasets. |
2D Contour Terrain | 2D Contour | A contour map is a graphical representation of the terrain or surface of an area. |
Gantt Plot | Gantt | This visualizer helps to visualize binned data. This is useful to visualize pattens in large datasets. |
Timeline Chart | Timeline | This visualizer helps to visualize binned data. This is useful to visualize pattens in large datasets. |
Radar plot | Radar | Multi Dimensional Radar Plot |
Calender | Calender | This visualizer plots the calendar within a range and the color of the days are by another column |
Calender HeatMap | Calender Heatmap | This visualizer plots the calendar heatmap within a range and the color of the days are by another column |
3D Model | Peacock | 3D Model Viewer |
3D Annotator | 3D Annotator | 3D Model Annotator |
Geo Map | Map | Overview. A geomap is a map of a country, continent, or region map, with colors and values assigned to specific regions. |
Key Value | Kay Value | This visualizer helps to visualize binned data. This is useful to visualize pattens in large datasets. |
Tree | Tree | Treemaps are visualizations for hierarchical data. |
TreeMap | TreeMap | Treemaps are visualizations for hierarchical data. |
Decision Tree | Decision Tree | A decision tree shows a connected hierarchy of boxes to represent the values of records. |
Force Directed Graph | Graph | A Force-Directed Graph, or Force-Based Graph, is a type of layout commonly used in a variety of application areas |
Organization | Organization | It describes the relations and hierarchy inside the organization |
Card | Card | Card visualization is a participatory method for capturing data that uses paper cards to allow groups to brainstorm and share their ideas |
Survival Space | Survival Space | |
Whiplash | Whiplash | Whiplash is neck injury caused by sudden, vigorous head movement in one direction, then back again quickly |
HeatMap | HeatMap | heatmap data visualization is a method of graphically representing numerical data where the value of each data point is indicated using colors. |
Pedpro | Pedpro | This visualization shows a distribution of values for states T1 and T2 in the lower right along with the distribution of HIC values, peak accelerations and left section animation |
Pedpro Table | Prepro table | Ped Pro Table maps out the impact points into bins to help visualize the points on the hood. We’ll add our X data, Y data and HIC values to create this visualization. |
Circle | Circle | Chart represents data in a pictorial form, making it easier to visualize and understand the proportionate parts or composition of a data set. |
3D Scatter | 3D Sactter | 3D scatter plots are used to plot data points on three axes in the attempt to show the relationship between three variables |
3D Curve | 3D Curve | A 3D visualization adds an added layer of dimensionality to a 2D visual. For example, 3D plots can often be used to show a relationship across three variables |
Image Analyzer | Image Analyzer | Image analyzers characterize particles in terms of their size, shape and transparency. They are usually categorized as either dynamic or static imaging systems. |
Pie Chart | Pie Chart | A pie chart is a type of graph representing data in a circular form, with each slice of the circle representing a fraction or proportionate part of the whole |
Scatter Matrix | Sactter Matrix | A scatter plot matrix is a grid (or matrix) of scatter plots used to visualize bivariate relationships between combinations of variables. |
Vector Scatter Matrix | Vector scatter Matrix | A scatter matrix is a pair-wise scatter plot of several variables presented in a matrix format. |
Multiline Chart | Multiline | In a multiple line graph, there are two or more lines in the graph connecting two or more sets of data points. |
Filtered Line Chart | Filtered line Chart | Now you can create a filtered line chart with checkboxes, to show only selected lines on startup to avoid overwhelming users, while allowing them to toggle on other lines |
Text Difference Checker | Diff Checker | Diff Checker is a data comparison tool that computes and shows the differences between the contents of files. |
Horizontal Bar Chart | Horizontal Bar Chart | A horizontal bar chart is a graph in the form of rectangular bars |
Newton Manager | Newton manager | This visualizer plots time-history data and is helpful when both X and Y data are numbers. The color, line and opacity of the curves can be based on other columns which allows visualizing upto 5 dimensions. |
Histogram Visualization | Histogram | A histogram is a graphical representation of a grouped frequency distribution with continuous classes |
Grouped Histogram | Histogram | A histogram is a graphical representation of a grouped frequency distribution with continuous classes. |
Grouped Bar Chart | Bar chart | A grouped bar chart (aka clustered bar chart, multi-series bar chart) extends the bar chart, plotting numeric values for levels of two categorical variables instead of one |
Grouped Box Plot | Box plot | Grouped box plots can be used to compare the distribution of values in a field containing numerical data, across different groups in a cohort |
Sparkline Matrix | Sparkline matrix | Sparklines are a new feature in Power BI that gives users the ability to add useful insights and context to their table and matrix visualizations |
Sparkline Matrix Visualization | Sparkline | Sparklines are small graphs that are created to offer simple visual clues about the data graphed |
Occupant Rating | Occupant Rating | |
Stacked Area Chart | Stacked Area Chart | In a stacked area chart, all of the lines are stacked on top of each other over a straight baseline at the bottom of the stack |
Circle Pack | Circle Pack | Circular packing or circular treemap allows to visualize a hierarchic organization |
Chord Diagram | Chord Diagram | Chord diagram shows dependencies amongst chosen columns |
Sankey Plot | Sankey Plot | Sankey diagrams are a type of flow diagram in which the width of the arrows is proportional to the flow rate. |
Arc Diagram | Arc Diagram | Arc diagram shows connections amongst chosen columns |
Gauge | Image Gauge | Shows where a single value lies across a range from minimum to maximum expected values |
Data Viewer | Data viewer | This visualizer helps to view any type of file |
Image Annotator | Image Annotator | This visualizer helps to upload images and annotate them |
Image positioner | Image Positioner | This visualizer helps to overlay images and animate them |
Data Clasiifier | Ml Classifier | This plugin helps with search predication based on categories and classification of the dataset. This plugin uses Machine Learning to produce the results |
Text Viewer | Text Viewer | This plugin helps view large texts |
Confusion Matrix | Matrix | The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances |
Data aggregator | Data aggregator | Data aggregation and visualization allows the Etiometry platform to bring together lab results, vital signs, demographics, medications, fluid balance, peripheral devices and waveforms on one screen. |
Data Filter | Data Filter | Data values are filtered out in the data table, and only the remaining, filtered values are included in what is being visualized |
Data Highlighter | Data Highlighter | Highlighter is a powerful tool used in data visualization to emphasize specific data points in a dataset |
Dashboard Layout | Dashboard | Data visualization is a way of presenting data in a visual form to make it easier to understand and analyze |
Data Profiler | Data Profiler | Data profiling is a set of processes and tools used to understand the contents of a datase |
Schema Summary | Schema | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
Column Summary | Column Summary | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
Filter Summary | Filer Summary | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
QQ Plot | QQ Plot | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
QQ plot matrix | QQ Plot Matrix | This is the table view that helps to get a 2D view of the data. You can choose columns that are text or number |
Group Statistics | Group Stats | Data visualization is the process of using visual elements like charts, graphs, or maps to represent data. |
Venn Diagram | Venn Diagram | A Venn diagram is an illustration that uses overlapping circles to show the logical relation between two or more sets of items. |