Chart Types - live connect

Each of the charts below can be recognized by the icon/image mentioned besides the chart types. In addition to these icons, you can also refer to the table added at the end of this page for the report creation.

Bar Chart 

In a bar chart, the horizontal axis typically represents the categories being compared, while the vertical axis represents the values being measured. Bar charts can be drawn either vertically or horizontally, depending on the type of data being represented and the purpose of the chart.

Stacked Bar Chart

 In a stacked bar chart, each category is divided into subcategories, and each subcategory is represented by a segment within the bar. The height of each segment corresponds to the value of that subcategory, and the total height of the bar represents the total value of the category.

Grouped Bar Chart

 In a grouped bar chart, each data series is represented by a group of bars, with each bar within the group representing a different category. The bars within each group are usually of the same color, while the different groups have different colors. The height of each bar represents the value of the data series for that category.

Area Chart 

In an area chart, the horizontal axis typically represents time or some other category, while the vertical axis represents the magnitude of the value being measured. The area between the line and the horizontal axis represents the value of the data at a given time or category.

Overlapping Area Chart 

In an overlapping area chart, each data series is represented by a colored area, with the areas overlapped on the same graph. Each data series has a different color, and the overlap shows where the two series have the same value. The transparency of the overlapping areas can be adjusted to make the different series more visible.

Line Chart 

In a line chart, the horizontal axis typically represents time or some other category, while the vertical axis represents the magnitude of the value being measured. The points on the graph are connected by straight lines, which show the trend of the data over the period being represented.

Overlapping  Line Chart 

In an overlapping line chart, each data series is represented by a colored line, with the lines overlapped on the same graph. Each data series has a different color, and the overlap shows where the two series have the same value. The thickness of the lines can be adjusted to make the different series more visible.

Heat Map

In a heat map, each data point is represented by a color that indicates its value. The color scheme used in a heat map typically ranges from cool colors, such as blue and green, to warm colors, such as yellow and red. Cool colors indicate lower values, while warm colors indicate higher values.

Scatter Plot 

In a scatter plot, each data point represents a single observation, with one variable plotted along the horizontal axis and the other variable plotted along the vertical axis. The position of each data point on the graph indicates the value of both variables for that observation.

Waterfall Chart 

In a waterfall chart, the initial value is represented by a bar, and each subsequent positive or negative change is shown as a bar that extends upward or downward from the previous bar. The total effect of the changes is represented by the final bar, which shows the resulting value.

Pie Chart 

In a pie chart, each sector represents a percentage or proportion of the total value being represented. The size of each sector is proportional to the value it represents, so sectors that represent larger proportions of the whole are larger in size.

Donut Chart 

In a donut chart, each segment represents a portion of the whole, and the size of each segment is proportional to the value it represents. The hole or empty space in the center of the chart can be used to display additional information or data, such as a label, a total value, or a comparison to another data set.

Radar Chart 

In a radar chart, each variable is represented as a spoke or a line radiating from a central point, and the data values for each variable are plotted along the corresponding spoke or line. The resulting shape is a polygon or a star that represents the overall data pattern.

Funnel Chart 

In a funnel chart, each stage in the process is represented by a segment of the funnel, and the width of each segment represents the number or proportion of items or people that move from one stage to the next. The segments are arranged in decreasing order of size, with the largest segment at the top of the funnel and the smallest at the bottom.

Tree Chart 

A tree chart, also known as a hierarchical chart, is a type of chart that is used to represent hierarchical data in a way that is easy to understand and visually appealing. It is called a tree chart because the chart shape resembles a tree, with branches and leaves that represent the different levels of the hierarchy.

Gauge Chart 

In a gauge chart, the range of possible values is divided into several ranges or zones, which are represented by different colors or shading. The current value is represented by the position of the needle or pointer on the gauge face, and the needle or pointer is usually colored to draw attention to the current value.

Table  

In a table, the rows represent individual items or observations, and the columns represent the different variables or attributes that are being measured. The cells contain the values of the variables for each item or observation. The table may also include a header row at the top, which contains the names or labels of the variables, and a header column on the left, which contains the names or labels of the items or observations.

Pivot Table 

In a pivot table, the data is organized into rows and columns, and you can drag and drop different variables or attributes to create different views of the data. For example, you can group the data by different categories or variables, such as date, product, or region, and then summarize the data using different aggregation functions, such as sum, average, or count.

KPI 

KPIs can be quantitative or qualitative, and they can be used to measure a wide range of business activities, such as sales, marketing, customer service, manufacturing, and finance. Some examples of KPIs include revenue growth, customer satisfaction ratings, employee turnover rates, and production efficiency metrics.

The number in the Categorical and Numerical columns in the table below represents the number of categorical or numerical data that needs to be used to plot the charts or dropped in the drop zone of the report creation page.