Charts help to visually illustrate the relationships in the data. These can be used to present large amounts of e-commerce data that might be complicated to describe and showcase it in a succinct and readable manner. By using the chart feature provided by IQLECT’s Shopify app, the users would be able to determine the pronounced trends and also reveal relations between different variables.
Basically, two categories of charts can be plotted using this feature which include:
- Time-series chart: It illustrates data points at successive intervals of time. Plotting this kind of chart can help the end users to identify a trend, or analyze how a key metric changes over time.
- Snapshot chart: Itillustrates the data points at a specific period of time. Plotting this kind of chart can be used to analyse the information generated at a given time.
Follow these steps to create a chart:
1. You will first need to select the type of analysis that you want to perform. The following options can chosen from the drop down list:
- Normal Analysis: Used to plot regular stream attribute data. You can add up to five queries for the analysis.
- Comparative Analysis: Used to plot data trend between two time periods. You can add maximum one stream and two attributes.
- Trend Analysis: This is similar to normal analysis but it is plotted on archived data.
- Cumulative Analysis: Used to plot chart with cumulative data within given intervals.
- Static Analysis: Can be plotted by taking any parameter (other than time) on x-axis.
2. Select a query that will be plotted on the chart. The final chart may contain more than one query.
3. To begin creating a query, select the input stream on which the chart will be created. Depending on the type of attributes in a stream, grouping option for the attribute may be available. The type of chart to be displayed can be selected from the dropdown list of chart types.
4. Upon selecting the stream, the attribute codes are displayed on the pop-up window.
5. User may select the attribute that needs to be displayed on the chart. Different attributes types such as integer, string, long and decimal are color-coded.
6. Dynamic and static filter may also be applied on the chart using the different tabs. A dynamic filter will allow users to filter data at the dashboard. A static filter will filter the data continuously. Users can plot multiple attributes on a single chart by clicking on new attributes.
7. Provide the labels for X-axis, Y-axis and tooltip for this query. As you add new query, you may add more Y-axis labels.
8. Add more query if necessary or plot the chart to see the preview.
9. In order to save the chart, click on +Save Chart.
10. A window will appear on the right hand side where you can provide details for the chart including the title, subtitle, description.
11. You can then choose the option of adding the chart to the existing dashboard or can even provide a completely new chart. Choose the dashboard on which you want to plot the from the drop down list and click on Add to Dashboard.
Once done, you will then be able to view this chart on the respective dashboard.