Getting started with building apps

The app is at the core of Qlik Sense. An app is loaded with your data, and the visualizations the app contains allow you and your colleagues to explore the data.

First, you have to build your app. This section describes how to build a basic app using some sample data.

The basic steps

Building an app from scratch requires four basic steps, as described here.

All apps need data. We have supplied some sample data for you to use when following the steps in this section. You can, of course use your own.

Sample data

Cost	Customer Number	Date	Item Description	Sales	Sales Quantity	Sales Person Number
-147,42	10025049	12/31/2012	Landslide Salt	-124,58	-1	113
-71,78	10025049	12/31/2012	Big Time Home Style French Fries	-98,77	-1	113
-6,95	10017828	12/31/2013	Even Better String Cheese	-8,75	-1	109
0	10005006	12/31/2013	Blue Label Canned Peas	0	1250	167
0	10009633	12/31/2013	Frozen Mushroom Pizza	0	1	127
0	10009633	12/31/2013	Great Pumpernickel Bread	0	2	127
0	10013238	12/31/2013	Blue Label Canned Peas	0	12500	117
0	10021223	12/31/2013	Imagine Ice Cream	0	221	183
0	10022168	01/15/2014	Blue Label Canned Peas	0	2500	154
0	10023447	01/15/2014	Golden Lime Popsicles	0	120	115
0	10025249	01/15/2014	Blue Label Canned Peas	0	1250	162
0,09	10024006	01/15/2014	Blue Label Canned Peas	0	10	157
0,13	10024006	01/15/2014	Blue Label Beef Soup	0	10	157
0,29	10024006	01/15/2014	Club Sour Cream	0	22	157
0,37	10024006	01/15/2014	Tell Tale Red Pepper	0	4	157
2,15	10024006	01/15/2014	Nationeel Apple Fruit Roll	0	10	157
5,14	10023783	02/23/2014	Nationeel Cheese Crackers	0	1	175
5,14	10023783	02/23/2014	Nationeel Graham Crackers	0	1	175
17,5	10021911	02/23/2014	Just Right Canned String Beans	0	10	175
18,69	10009633	03/05/2014	Tell Tale Broccoli	0	1	127
30,34	10009633	03/05/2014	Cutting Edge Turkey Hot Dogs	0	1	127
52,59	10009633	03/05/2014	Ebony Fresh Lima Beans	0	1	127
52,59	10009633	03/05/2014	Ebony Fresh Lima Beans	0	1	127
95,35	10009633	03/05/2014	Tell Tale Limes	0	1	127
112,73	10009633	03/05/2014	Just Right Regular Ramen Soup	0	2	127
206,89	10009633	03/05/2014	Golden Frozen Cheese Pizza	0	1	127
0,22	10011734	03/05/2014	Best Choice Sesame Crackers	0,7	2	155
0,22	10021472	03/05/2014	Best Choice Sesame Crackers	0,71	2	114
0,33	10011734	08/05/2014	Great Pumpernickel Bread	1,48	2	155
0,4	10009606	08/05/2014	Best Oatmeal	1,54	4	118
0,55	10016548	08/05/2014	Best Choice Sesame Crackers	1,75	5	153
0,93	10009606	08/05/2014	Carlson Mild Cheddar Cheese	2,05	1	118
0,4	10023447	08/05/2014	Big Time Fajita French Fries	2,39	2	115
0,84	10016548	08/05/2014	Best Choice Beef Jerky	2,73	2	153
0,99	10009606	08/05/2014	Ebony Plums	2,93	5	118
0,64	10009606	08/05/2014	Club String Cheese	2,99	8	118
1,01	10009606	08/05/2014	Shady Lake Ravioli	3,17	2	118
2,2	10025919	08/05/2014	Golden Chicken TV Dinner	3,21	1	108
1,09	10016548	09/24/2014	Landslide Grape Jam	3,47	1	153

Expand the section above, and copy the whole table, including the column headings, into an empty Excel file on your computer.

The steps are as follows. Each step is described in more detail in subsequent sections.

1. Start Qlik Sense.

2. Create a new app.

3. Load the Excel file into Qlik Sense to get some data into the new app.

4. Add a sheet with one or more visualizations.

Begin by starting Qlik Sense, see Starting Qlik Sense.

Building a more advanced app

If you want to build a more advanced app, there are a number of things you can do. You can create structure to your app by adding sheets, where each sheet has a specific purpose. You can create reusable items from your measures and dimensions to make it easy for you and others developing the app to reuse in their own visualizations. You can bookmark key findings, as well as add descriptions to the app and its sheets, making it easier for the intended users of the app to understand its purpose and how best to use it.

• Creating sheets for structure
• Preparing an app for others
• Sharing your insights using data storytelling