Column Chart in Presentation Document Leave feedback

Note

In this article, we will use GroupDocs.Assembly to generate a Column Chart Report with Filtered, Grouped, and Ordered Data in Presentation Document format based on the use case: Working with a Business Case.

Note

The example reads the shop data described in The Business Layer.

Please follow below steps to create a column chart in MS PowerPoint 2013:

1. Create a new presentation slide.
2. Click the “Insert” tab, and then click “Chart” in the illustrations group to open the “Insert Chart” dialog box.
3. Select “Column” in the sidebar, you will see a gallery of charts.
4. Select the “100% Stacked Column” and press “OK” to insert the chart and Worksheet template to your document.
5. Edit the Worksheet with your data to update the chart. See Chart Data (Excel).
6. Save your Document.

As a report developer, you are required to share orders quantity of the customers dynamically with the following key requirements:

• A report must show the quantity of sales/orders.
• Sales/orders quantity must represented by Quarters.
• It must associate order quantity with the corresponding customer.
• A report must be generated in the Presentation Document.

Total Order Quantity by Quarters<<foreach [in orders.Where(c => c.OrderDate.Year == 2015)
.GroupBy(c => c.Customer)
.OrderBy(g => g.Key.CustomerName)]>>
<<x [Key.CustomerName]>>

Tip

For detailed technical information about syntax, expressions and report generation by the engine, please visit: Working with GroupDocs.Assembly Engine.

Download Template

Please download the sample Chart Template we created in this article:

• chart-with-filtering-and-dynamic-title.pptx

import json
from datetime import datetime

from groupdocs.assembly import DataSourceInfo, DocumentAssembler

def parse_dates(item):
    # JSON has no dates: turn the order dates into datetime objects for the template
    for key in ("OrderDate", "ShippingDate"):
        if key in item:
            item[key] = datetime.strptime(item[key], "%Y-%m-%dT%H:%M:%S")
    return item

with open("orders.json", encoding="utf-8") as f:
    orders = json.load(f, object_hook=parse_dates)

assembler = DocumentAssembler()
assembler.assemble_document("chart-with-filtering-and-dynamic-title.pptx", "chart-with-filtering-and-dynamic-title-report.pptx", [
    DataSourceInfo(orders, "orders"),
    DataSourceInfo("Harbor Lane orders by customer, 2015", "title"),
])

Binary file (PPTX, 46 KB)

To be investigated.