kapa.ai what kind of data goes into the mixpanel dashboards that i make? can i get a sample dataset to create my own dashboards via python, etc?
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Mixpanel dashboards (called "Boards") are built from event data and user properties that you send to Mixpanel. The types of data you can include are: - Events: Actions users take in your product (e.g., "Signed up", "Completed Purchase", "Clicked Ad").
- Event Properties: Attributes about those actions (e.g., plan type, page name, purchase amount).
- User Properties: Attributes about the user (e.g., location, device, signup date).Common metrics and reports in dashboards include active users (DAU/WAU/MAU), conversion funnels, retention, engagement, acquisition channels, session metrics, ad spend, and more. You can customize dashboards to track KPIs relevant to your business, such as revenue, marketing performance, or product usage. Mixpanel provides templates and example Boards to help you get started quickly, and you can view public demo dashboards for inspiration (example marketing dashboard, example company KPIs dashboard)<sup> source</sup> <sup> source</sup> .Sample Dataset for Creating Dashboards via PythonWhile the knowledge sources do not provide a downloadable sample dataset, they do show example event structures. Here’s a sample event you could send using the Mixpanel Python SDK: LBKSfrom mixpanel import MixpanelLBKSmp = Mixpanel('YOUR_PROJECT_TOKEN')LBKS# Track a signup event mp.track('user_123', 'Signed up', { 'plan': 'premium', 'source': 'Google Ads', 'signup_date': '2024-06-01' })LBKS# Track a purchase event mp.track('user_123', 'Completed Purchase', { 'amount': 49.99, 'currency': 'USD', 'item_category': 'Shoes' })LBKS
You can use this structure to generate your own test data and send it to Mixpanel for dashboard creation<sup> source</sup> .If you want to see how dashboards look with data, Mixpanel offers public demo Boards and templates you can explore and copy into your own project. These are populated with example data and can help you understand what kind of data to send and how to structure your dashboards<sup> source</sup> .If you need more extensive sample data, you may need to generate it yourself or use Mixpanel’s demo projects for reference, as the knowledge sources do not provide a direct sample dataset download.
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kapa.ai how do i generate fake data for me to try and simulate dashboards because i dont have data neither are any of the mixpanel events implemented?
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To generate fake data for simulating Mixpanel dashboards when you don't have any events implemented, you have a few options based on the knowledge sources: 1. Use Mixpanel Sample Events for Testing Integrations
Mixpanel provides sample event files you can use to test integrations. For example, you can download a sample JSON file of events from this link and use it to trigger imports via cloud storage or other integrations. This is useful for quickly populating your project with test data and seeing how dashboards and reports behave with real event structures. You can upload this file to your integration (e.g., S3, Google Cloud Storage) and confirm the events appear in Mixpanel’s Events view, which can then be used in dashboards
see source.2. Manually Send Events Using the Python SDK
You can use the Mixpanel Python SDK to script the sending of fake events. Here’s a basic example: LBKSfrom mixpanel import Mixpanel import random import timeLBKSmp = Mixpanel('YOUR_PROJECT_TOKEN')LBKSfor i in range(100): user_id = f"user_{i}" mp.track(user_id, 'Sign Up', { 'plan': random.choice(['free', 'premium']), 'source': random.choice(['Google', 'Facebook', 'Organic']), 'signup_time': int(time.time()) }) mp.track(user_id, 'Value Moment', { 'feature': random.choice(['search', 'upload', 'share']), 'time': int(time.time()) })LBKS
This will generate random "Sign Up" and "Value Moment" events, which are commonly used in Mixpanel dashboard templates
see source.3. Use Mixpanel Board Templates
Once you have some events in your project (even if they’re fake), you can use Mixpanel’s Board Templates (like the Company KPI template) to quickly generate dashboards. These templates require you to select key events (e.g., "Sign Up" and "Value Moment") and will automatically create a set of reports for you
see source.Summary:
- Download and import Mixpanel’s sample event file.
- Script your own fake events using the Python SDK.
- Use Board Templates to visualize your fake data.This approach lets you simulate dashboards and get familiar with Mixpanel’s analytics features before you have real user data.
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kapa.ai to be very precise - i have some events and the screens they're at but the devs have not implemented the events. BUT i want to make dashboard using these events and for that i have a set of metrics and ideas - how do i go about this, considering that i can try things in a python notebook?
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Given your situation—having a list of events and screens but no real event data yet—you can still simulate and prototype Mixpanel dashboards by generating and sending fake events using the Mixpanel Python SDK. This allows you to experiment with your metrics and dashboard ideas before the actual implementation.Here’s how you can proceed, based on the knowledge sources:Key Points: - You do not need real user data to prototype dashboards—fake data works for design and validation. - Use the Python SDK to automate event generation and sending. - Once events are in Mixpanel, you can fully utilize the dashboarding and reporting features.This workflow lets you validate your metrics and dashboard structure before the devs implement the actual event tracking.
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kapa.ai i cannot send events to mixpanel - i dont have access to the source code and am not allowed to make changes there
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If you cannot send events to Mixpanel because you don't have access to the source code or the ability to make changes, your options for simulating dashboards with your own custom events are limited. Mixpanel dashboards require event data to be present in the project, and this data is typically sent via SDKs, APIs, or integrations.However, the knowledge sources do mention a few alternatives that might help you prototype or explore dashboards: 1. Use Mixpanel’s Demo Data and Public Boards Mixpanel provides public demo dashboards and templates populated with sample data. You can explore these to get a feel for how dashboards work and what kinds of metrics you can track. For example, you can view a public marketing dashboard or use the Company KPIs Dashboard Template to see example reports and metrics. This allows you to experiment with dashboard layouts and metrics, even if you can’t use your own events yet<sup> source</sup> <sup> source</sup> .2. Use Mixpanel’s Out-of-the-Box Templates with Demo Data You can create a free Mixpanel account and use the out-of-the-box templates with Mixpanel’s demo datasets. This lets you try out dashboard creation and reporting features without needing to send any events yourself<sup> source</sup> .3. Import Data via CSV (If Permitted) If you are allowed to upload data (but not change code), Mixpanel supports importing data from CSV files. This can be done through the UI or certain integrations, but you would need the appropriate permissions in your Mixpanel project. The knowledge sources mention this as an option for getting your own data into Mixpanel without code changes<sup> source</sup> .Summary: If you cannot send events or import data, you are limited to using Mixpanel’s demo data and public dashboards for prototyping. You can still design and plan your dashboards and metrics using these resources, but you will not be able to simulate your own custom events until you have a way to get data into Mixpanel. The knowledge sources do not mention any way to create dashboards with custom events without having event data present in the project.
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kapa.ai is the 'For the First Time Ever' filter available only in the Cohorts section?
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No, the "For the First Time Ever" filter is not limited to the Cohorts section. According to the knowledge sources, you can add a "First Time" filter to any event in Mixpanel reports. This allows you to filter an event to only the first time it’s performed by a user, which is useful for answering questions like how many users sign up for the first time each week, or which referrers most first-time users come from. This filter is available in the broader reporting and analysis features, not just in Cohorts. You can also use it in Funnels to analyze the Nth time an event was performed by a user, for example, users who completed a tutorial for the third time Analyzing First Time Users.
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