Thank you for trying out LityxIQ. Your free trial gives you access to all of the powerful data insight tools that our advanced analytics software platform has to offer, with no coding required. We’ve created this guide to help you get started.
We want to make sure that you’re getting the most out of your LityxIQ free trial experience. If you’d like expert guidance or need any assistance, please don’t hesitate to get in touch.
Step 1: Login to LityxIQ
To access your free trial, visit trial.lityxiq.com. Enter the login credentials that were provided to you by your Lityx account representative get in touch.
Step 2: Read in Data
To access your free trial, visit trial.lityxiq.com. Enter the login credentials that were provided to you by your Lityx account representative. Using DataManager, (1) select a sample data file from the public folder, or (2) upload your own data file.
(1) USE THE PUBLIC DATA FILE
Use the arrows below to navigate the steps.
Step 1
1. Upon login, you will find three sample data files pre-loaded into your dataset library. These instructions will replicate the dataset view provided in 3.0 DemoResponse with GeoTraits, demonstrating how to join zip code demographics with campaign data from the sample datasets.
Step 2
2. To begin working with the sample datasets provided, create a new View from the Create New Dataset drop-down.
Step 3
3. Name your dataset view (required) and add a description (optional).
Step 4
4. Define which dataset you would like to use as your incoming data source by clicking on Add Dataset. For this example, we will select 1.0 DemoResponse. (NOTE: Move to next step before clicking Done.)
Step 4
5. Click the Joins tab. Select the Dataset to Join, then select the variable that you would like to join on. For this example, we will select the 2.0 GeoTraits dataset, and the Zip variable from each dataset. (NOTE: Move to next step before clicking Save Changes.)
Step 4
6. Click the Variables tab. Select the variable(s) that you would like to include from each dataset. For this example, we chose all variables from the current dataset and a subset of variables from the to-be-joined dataset. Click Save Changes when finished.
Step 4
7. To process your new dataset view, select your dataset in the Available Datasets window and click Selected Dataset. Click Execute View > Execute Now, and confirm that you would like to create this view. You can monitor progress of your dataset in the console window.
(2) UPLOAD YOUR OWN DATA FILE
Use the arrows below to navigate the steps.
Step 1
1. Navigate to File Manager within the Tools menu.
Step 2
2. Select the My Files folder, and click the Upload icon in the top menu.
Step 3
3. Use the Browse button to navigate to your data file on your local machine and click the Upload All button once you’ve selected it. Click the Done button in the File Manager window once your file has been uploaded. (Files must be .xls or .csv format and less than 50MB.)
Step 4
4. Define which dataset you would like to use as your incoming data source by clicking on Add Dataset. For this example, we will select 1.0 DemoResponse. (NOTE: Move to next step before clicking Done.)
Step 4
5. Within the File Manager location (default), click in the Filename field. This will display a popup of your File Manager folder structure. Navigate to and select the data file that you uploaded in Step 3. Note: Move to next step before clicking Save and Load Data Now button.
Step 4
6. Navigate to the Dictionary tab and click Create Dictionary. You will see the variable names from the data file that you loaded. If the data looks good, click Save and Load Data Now. You will be prompted to confirm whether to load the source data now. Click Yes. Your dataset should now appear in the Available Datasets window.
Step 3: Decide What to Do with Your Data
Once your dataset is loaded, you can begin to analyze and manipulate your data to achieve your desired outcomes. A few examples include: