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# Smartphone Launch Trend Analysis
- URL: https://www.vizney.com/smartphone-launch-trend-analysis/
- Published: 2025-11-05T00:50:50.000Z
- Updated: 2025-11-05T00:59:07.000Z
- Author: Yehwan Hwang
- Tags: Case Study, Gallery

In the smartphone market, even within the same brand, models with different prices and features are released throughout the year. Because each brand targets different customer segments, **launch timing and price positioning** often follow a recognizable pattern. The goal of this dashboard was to help identify those patterns at a glance.

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### Requirements

- Visually represent when and at what price each brand releases its smartphones throughout a given year
- Clearly show how premium, mid-range, and budget models are distributed across quarters
- Allow filtering by year, brand, and device type (e.g., smartphone, tablet)

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### Development

The visualization was designed using **launch quarter (x-axis)** and **launch price (y-axis)** for all smartphone models released by a selected brand in a single year.

![](https://storage.ghost.io/c/6a/50/6a50f03c-1922-4e90-bf18-c5abd0f819d4/content/images/2025/11/Smartphone-Launch-Trend-1.png)

---

🧩 **How was the data collected?**

We crawled data from [**GSMArena**](https://www.gsmarena.com/?ref=vizney.com), a website that provides detailed smartphone specifications. The dataset included columns such as year, brand, model name, launch quarter, launch price, and key features (e.g., 5G, metal frame, resistance, etc.).

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🧩 **How did you handle models that overlap at the same quarter and price?**

In many cases, multiple models were released in the same quarter with similar prices, causing overlap on the chart. 

Since the goal of this visualization was **to observe overall distribution rather than precise price comparison**, we applied a small vertical offset using the `INDEX` function to slightly separate overlapping points. This allowed the overall pattern to remain readable, while **exact prices were shown through tooltips**.

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🧩 **The price range is too wide. How was that handled?**

Initially, a single linear scale was applied to the y-axis, but prices ranged from around **$100 to over $1,500**, causing budget models to cluster at the bottom.

To improve readability, prices were grouped into categories such as **Low / Mid / High / Premium**, and **separate axes** were used for each range. This approach allowed both high-end and entry-level models to be compared on the same chart while still maintaining detail within each range.

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🧩 **Doesn’t using multiple axes make the chart confusing?**

There was a concern that splitting the axis could complicate the layout, so each range was clearly labeled with **distinct price boundaries** to minimize confusion. We also adjusted spacing within each segment so that model names were evenly distributed, helping users naturally perceive the boundaries between price ranges.

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🧩 **What information is displayed in the Tooltip?**

Each tooltip displays the **model name, launch quarter, launch price, and key features** such as 5G or water resistance. This provided enough detail for comparison while keeping the visualization itself clean and uncluttered.

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🧩 **How were the feature filters implemented?**

The **Features** filter at the top was built using a parameter that allows multiple selections. When **`All`** is selected, it automatically clears other options, ensuring intuitive and efficient interaction.

[Multi-Select Parameters in TableauHere’s a method to enable multi-select functionality for parameters in Tableau, which by default only support single selection.![](https://storage.ghost.io/c/6a/50/6a50f03c-1922-4e90-bf18-c5abd0f819d4/content/images/icon/vizney_icon_b_v2.png)VizneyYehwan Hwang![](https://storage.ghost.io/c/6a/50/6a50f03c-1922-4e90-bf18-c5abd0f819d4/content/images/thumbnail/Multi-select-Parameter-3.gif)](https://www.vizney.com/multi-select-parameters-in-tableau/)