TickerTrends
  • Documentation V2
    • Introduction
    • Introduction to Data Types
      • Amazon
      • Google Trends
      • Youtube
      • Instagram
      • Web Traffic
      • App Usage
      • TikTok
      • Reddit
      • Wikipedia
      • Job Postings
      • Financial Data Types
    • TickerTrends Tiers
    • Why Choose the Enterprise Tier vs TickerTrends Core?
    • Enterprise Section
      • Enterprise KPI Dashboard Overview
      • Getting Started: Create New Pages
      • Adding Widgets
      • Enterprise Dashboard Features
      • Outlier Mode on Exploding Trends
      • Home/Analyze Page
      • Sector Trends Page
      • TickerTrends' Proprietary Trends
      • Social Discover Page
      • Social Discussion
      • Trend Lab - Gen AI Alternative Data Research + Contextualize "Why" a Search Spiked
      • Gen AI Enterprise Page Builder
      • Custom Datasets and Training Sessions Included!
    • Section 1: Discover
      • 1.1 Discover
      • 1.2 Exploding Trends
      • 1.3 Watchlist Screener
      • 1.4 Sector Trends
      • 1.5 Social Discover
    • Section 2: Analyze
      • 2.1 Home Page
      • 2.2 Analyze Page
      • How to Start - Search for Tickers or Terms
      • Instant Scrape
      • Add Stocks to Watchlist
      • Related Symbols Table
      • Financial Data Section
      • Alerts
      • Alternative Data Section Overview
      • Proprietary Trend Values
      • Pie Chart
      • Compound vs Individual Mode
      • Dynamic Chart
      • Dynamic Chart Data Source Descriptions
      • Visualization Tools & Interval Mode
      • Summary
      • Enterprise Dashboard
    • Section 3: Manage
      • 3.1 Edit Data
      • 3.2 Settings
      • API Settings
    • Section 4: API Access
      • API Settings
  • Add-Ons
    • Chrome Extension
  • Tips And Tricks
    • Finding high quality terms
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  1. Documentation V2
  2. Section 2: Analyze

Visualization Tools & Interval Mode

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Last updated 1 month ago

Next, notice the "Interval" text box. By "Default" all values are daily. Users have the option to group data into aggregates based on "Weekly", "Monthly", and "Quarterly" groups to view the line chart as instead a bar chart. This makes comparing data to the comparable week, month or quarter last year easier, very useful for earnings projections.

Notice the last value which is semi-shaded out. This is the incomplete value for the current week/month/quarter. It essentially projects the current rate of the chosen keywords search volume and projects that rate into what that search interest is trending towards.

If the user is in "Compound" mode, the "Visualization Tools" on the top right side has the following functionality: "YoY", "Stacked YoY", "Volumetric", "Average", and "Aggregate".

  • "YoY" — Shows the year-over-year values of the data points. Useful in identifying rate of change of a keyword over time.

  • "Stacked YoY" — View every data point compared to previous years data point on that same day.

  • "Volumetric" — Volumetric converts specific data sources (like Google and TikTok as notable examples) to an estimation of volume as opposed to being normalized and scaled from 0 to 1. Notice the y-axis in "Search Trend" change from 0 to 1 scaled to actual estimated Google search volume the in screenshot below.

  • "Average" — Average combines any number of selected trends all into one "Average" time series trend.

This average only incorporates the overlapping values. For example, if one keyword has data up till 4/17 while the other one goes until 4/23, the last values on 4/17 would be averaged and shown as the last point on the single averaged trend line.

  • "Aggregate" — Aggregate mode adds up all the selected trends. This is especially useful for companies with multiple brands to for example be able to add together all of their owned websites.