What are the most popular smartphones and apps in China?
Contributed by Shuo Zhang. She is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. The shiny website:
https://shuozhang1985.shinyapps.io/phone_shiny/
global codes:
https://gist.github.com/shuozhang1985/f16e4bcdf456126b6c2f2f37c38c09b3
ui codes:
https://gist.github.com/shuozhang1985/65bf0474942309726e26f7198267e5c0
server codes:
https://gist.github.com/shuozhang1985/13c58b21befe5af7260e164598220569
Introduction
China is the 4th largest country in the world with a population of 1, 401, 586, 000 (and still counting). There are 980.6 million smartphone users in the country as of today. China is as great as their Walls and is considered a giant when it comes to mass production of goods, electronics, furniture, toys, and now it is dominating the advanced world of smartphones. You can easily spot a ‘China Phone’, with the huge display screen, vivid display colors, HD camera features, and the plastic (most likely) outer case.
Apps are revolutionizing the way we travel, and nowhere is this more true than China. Downloading these apps before you get to China can make everything a whole lot easier, as it alleviates problems with the language and can help you get your bearings.
When you travel to China and you want to buy a phone, the first question that comes to mind is “what are other people like me buying”. There are so many phone brands, making it difficult to pick one. Supposing that you finally make a choice and you are ready to install apps, the second thought is “what are the most popular and useful apps?” From the phone manufacturers' perspective, who will win the phone battle and occupy the China market? Who are their target customers? How can they improve sales volume and increase market share? From another point of view, when you walk into a store and you use your app to make a payment, how much information does the store manager receive about who you are (i.e. gender and age) based on the phone and app you are using? The shiny app described in this blog can help answer these questions. I hope you enjoy your tour of exploration.
Dataset description
TalkingData, China's largest third-party mobile data platform, releases a weekly report detailing every android phone and app used in China (i.e., excludes the iPhone). Phones with the Android system dominate the Chinese smartphone market, representing 89.9% of the total number of phones sold in China according to research from iiMedia. The dataset contains a wide variety of variables about the location, gender and age group of the users involved. We'll focus on those variables for the shiny.
The data schema can be represented in the following chart:
From this main dataset, I created two separate datasets. One is for device_id related to phone brand, users' gender, age and group, and location ; the other is for device_id plus app_id related to phone brand, users' gender, age group, location, app categories, whether apps are installed or not, and whether apps are active or not. For data analysis, please refer to the link for R codes:
https://gist.github.com/shuozhang1985/75221c804288f570d316b7726f8aba93
From this shiny, you will get answers to the following questions:
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What are the most popular phone brands and app categories in China? Top 10?
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What is the user geographical distribution? What cities have the most users?
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What is the user distribution by gender/age ? Do male and female users, young and senior people have the same preference?
Introduction to Shiny app
There are 6 pages in the shiny. In each page, you have different choices by selecting items in the sidebar. I will show you my findings when I explore the shiny app.
Data Visualization in Shiny
What are the best-selling smartphones in China?
Let's take a look at the top 10 popular smartphones that are trending now in China.
The best 10 Android phones on the market have similar features, with more advanced cameras, faster processors and fresh apps, and some of them are coming in at cheaper prices. China’s phone market is dominated by Xiaomi and Huawei. But Samsung, Vivo, and OPPO also catch our eyes for their good performance. Also I list the top 4 popular phones in 2015, provided by IDC. By comparison, Samsung's dramatic increase in 2016 is most evident and Samsung now ranks third in the market.
Furthermore, the shiny app provides a way to identify the trendiest phones in the top 3 brands. We can take a look at the possible reasons why the market is preoccupied with Xiaomi, Huawei and Samsung.
First let’s look at the Xiaomi Redmi Note2. This smartphone has broken all the selling records in China. It sold over 800,000 units within 12 hours. It is one of the few pocket-friendly phones in China, and with its 13MP camera and a powerful Octa-core MediaTek chip. It also offers a user-friendly interface and a lively display .
As Huawei’s flagship phone, the Ascend Mate 7 makes the enthusiasts silent with its display size of 6 inches, advanced processor, 13MP of a rear camera and its long battery life.
Samsung S6 and S6 Edge offer a better performance than the previous generations of the Samsung S-series. It has a powerful Exynos 7420 processor built on a 14nm process which makes it the most advanced among all the other smartphones offered in the local tech market, including the latest Android 5.0.1 Lollipop.
What is the user geographical distribution?
Let's take the top 2 phone brands for example.
Xiaomi and Huawei are popular local smartphone brands in China. Yet, different cities in China may have a preference toward different smartphone brands. To get a clear view of their geographical distribution, I separate the map to two parts.
Xiaomi:
Huawei:
Their geographical distribution is similar to each other in the 3 first-tier cities: Beijing, Shanghai and Shenzhen, but they have different sale volumes in the other provinces. For Xiaomi, users in Sichuan, Fujian and Jiangxi account for the most market share. While for Huawei, users in Shandong, Fujian and Hunan take the most market volume. China's cities can be categorized to four tiers based on economic factor (i.e. the first-tire cities have highest per-capita income and the fourth-tire cities have lowest per-capita income). From CIW report, China’s third-tier and fourth-tier cities account for 58% of the country's smartphone market, while China’s first-tier cities only account for 13% and second-tier cities 28%. We can get the same conclusion when the market share of the 3 first-tier cities is calculated. For Xiaomi, the 3 first-tier cities only account for 10.6%, and for Huawei, this percentage is 12.2%. Consumers in different tier cities have different concerns with respect to smartphones when purchasing new sets. Consumers in first-tier cities value product evaluation reviews. Second-tier cities consumers are more concerned about related information on additional features and performance metrics. And, third-tier and fourth-tier cities consumers are more inclined to focus on price of smartphones.
What is the user distribution by gender?
The graph shows a distribution of the smartphone users by gender. Men have more smartphones than women in China, with 70% of men owning these devices and 30% of women on average in May 2016. Additionally, different phone brands have different distributions of female and male users. Huawei and Samsung seem to have an advantage in attracting males while OPPO and Vivo are more attractive to females. This is not surprising. It suggests that females prefer fashion phones such as OPPO and Vivo while males like functional phones such as Huawei and Samsung. Xiaomi is the king here (of course Apple is excluded).
What is the user distribution by age?
Let’s take the top 5 phone brands for example. To get a clear view of the age distribution, I categorize the ages into 6 groups: below 27 (the post-90s), 27-36 (the post-80s), 37-46 (the post-70s), 47-56 (the post-60s), above 56 (the post-50s).
First, let's investigate the general distribution of each brand.
The youngest users are between 16 and 18 years old, the oldest users are between 65 and 82 years old, and the users' average age is between 27 and 32, depending on the phone brand.
Secondly, let's dig deeper to the age distribution by different age category.
Post-90s: Post-80s:
Post-70s: Post-60s:
Post-50s:
Further analysis :
Differences exist in the purchase of smartphones by age. The post-90s consumers are more likely to buy Xiaomi, Huawei and Vivo. However, consumers in the post-80s, post-70s, post-60s and post-50s are more inclined to buy Xiaomi, Huawei and Samsung. All graphs reveal the same information that the young generation prefer to buy the fashion and more affordable phones such as Vivo and OPPO while senior people are more in favor of Huawei and Samsung. Again, Xiaomi is the dominant.
The further analysis of age group can be performed by the following code:
hhttps://gist.github.com/shuozhang1985/9a51675f3ebb95a7ffb71d6799ffce83
What are the top 10 installed apps in China?
The graph shows the rank of the top 10 most popular app categories in terms of installed apps. In May 2016, industry tag is the first-most popular category, the second-most downloaded app category is property industry 2.0. Also property industry 1.0 and services 1 hold places in the apps market.
What is the user geographical distribution?
Let's take industry tag and video for example.
Industry tag:
Types of installed apps in smartphones have a significant discrepancy in different cities. For industry tag, Shanghai, Shenzhen, Beijing, Sichuan and Henan occupy the largest market share. While for video, Shenzhen, Anhui, Shanghai, Sichuan and Beijing have the largest market share.
What is the user distribution by phone?
Let's take Xiaomi, Huawei and Vivo for example.
Different phone brands have different distributions of APP categories. Industry tag and property industry 2.0 seem to have an advantage in attracting Xiaomi and Vivo phone users while property industry 1.0 and services 1 are more attractive to Huawei phone users.
What is the user distribution by gender?
The graph shows a distribution of the app categories by gender. Men download more apps than women in China, with 75% of men installing these apps and 25% of women by average in May 2016, and different phone brand shares a similar distribution.
What is the user distribution by age?
Let’s take the top 5 app categories for example.
The youngest users are between 16 and 17 years old, the oldest users are between 68 and 80 years old, and the users' average age is between 28 and 32, dependent on each app category. While many people think of apps as things that younger people use, there are older people who download and use apps. After all, there are all kinds of senior citizens who are very tech-savvy, and are using computers and mobile devices every day.
How about the preferences of different age groups?
Differences exist in the downloading of apps by category and age group. The post-90s and post-80s consumers are more likely to install services 1 and video. However, consumers in the post-70s, post-60s and post-50s are more inclined to download services 1 and p2p net load. Again, industry tag and property industry 2.0 are the dominant.
The further analysis of age group distribution can be performed by the following code:
https://gist.github.com/shuozhang1985/737e80b24f62d71f7c3967f1c1b90459
What are the most popular and active apps?
Surprisingly, there are more inactive downloaded app categories than there are active ones, which means most people install a lot of apps but they actually do not use them frequently.
Top 10 popular phones and apps based on gender and age
In the shiny, you can customize your own word cloud by selecting your gender and age.
For example, I am female and 30 years old.
From the graph, I find out the top 5 best-selling phones are Xiaomi, Huawei, OPPO, Samsung and Vivo and the top 4 most-downloaded apps are industry tag, property industry 1.0, property industry 2.0 and services 1.
Conclusion
I think you can find your own answers now:
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Top 10 best-selling smartphones and top 10 most-downloaded apps
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Their geographical, gender and age distributions based on your customized choice
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Word cloud based on your gender and age
Future work
If I learn more machine learning skills, I could build a model predicting users’ demographic characteristics based on their app usage, geolocation, and mobile device properties. Doing so will help millions of developers and brand advertisers around the world to pursue data-driven marketing efforts which are relevant to their users and catered to their preferences.