Big data tells you what kind of city makes young people happy.

Media person and writer Xin Wang (pen name "Anti-Short Position") wrote an article about what kind of city is more suitable for singles. His answer is Shanghai-from Jing 'an to Zhangjiang, from Puxi to Pudong, there are only two or three tables of bars, cafes and small restaurants, as well as convenience stores and food stalls open 24 hours a day. Everyone is used to a moderate distance, so we don't have to go very close. It doesn't matter whether you go downstairs alone, drink a glass of wine, eat a bowl of wonton, or have a cup of hot coffee and read a magazine. Go out for a walk, there is always a decent little bar, where you can have a decent oldfashion, or a greasy-looking little restaurant, ask for a plate of fried pork chops and a bowl of scallion noodles, where you can be elated and happy, and then go back to writing. I am alone, but in a self-sufficient life like Shanghai, I can talk all day without feeling lonely.

This is based on my own experience and feelings. My views are both representative and personal.

Convenience stores do add points to the livability of a city. The reporter has two or three friends who travel frequently. They insist that there are no convenience stores in Beijing, which is inconvenient (in fact, there are many, and people's inherent impressions are hard to change). And if you ask white-collar workers who have lived in Shanghai for a long time why they like this city, they can always find convenience stores within a 5-minute walk, which will be the answer of many people.

Rational and rigorous data came out to speak. The data not only supports Xin Wang's feelings, but also does not fully support them. Among the cities in China, Shanghai has the largest number of convenience stores and supermarkets, but there are also many people from Shanghai. According to the average resident population, Shanghai can only rank 20th. Shanghai restaurant number and per capita ownership ranking 13. These two ranked first, which you didn't expect-Dalian and Sanya.

When it comes to cafes, counting the data of Aiping.com and public comments, there are 327 1 cafes in Taipei and 5,296 in Shanghai. However, the built-up area of Shanghai is much larger than that of Taipei, which is 27 1 square kilometer, which is several times as high. So although there are cafes everywhere in Shanghai, the density is still far lower than that in Taipei. On a per capita basis, Shanghai has 2. 18 cafes per 10,000 people, and Taipei has 12. 1 cafes, which is nearly six times that of Shanghai.

The perceptual knowledge of a city can be rationally verified by multi-dimensional data. The above data was made by a small team nicknamed "Xinyi Sauce". Big data is a huge vault, and they are studying one of them.

Six girls rate the city.

The "sauce" of "Xinyi sauce" is the same as the most popular "Papi sauce" among online celebrities at present. It comes from Japanese, is the suffix of intimacy, and is reserved for women. "Xinyi" is the abbreviation of "New First-tier City Research Institute". It's a research institute, actually it's a reporting team in a magazine.

20 13 CBN Weekly wants to do some data analysis in the field of business reports. At that time, the data was still collected by hand, and people were also a loose team composed of temporary transfers. At the end of 20 13, Weekly conducted a detailed survey of 400 cities (including 300 cities at prefecture level and above, and1000 top 100 counties, except traditional first-tier cities) from the perspective of commercial charm, and made a classification and ranking, and selected Chengdu, Hangzhou, Nanjing, Wuhan, Tianjin, Xi 'an, Chongqing and Chongqing.

The report group believes that after more than 30 years of reform and opening up, the development of China city is breaking through the shackles of administrative level and getting closer to a modern city driven by business. It is possible to classify cities according to the prosperity of industry and commerce, and the necessity is more and more urgent.

After completing this group of reports, several young media people's interest in urban big data is beyond words. 20 15, Alibaba invested in CBN, and business data mining was on the road.

April 20 15, during the production of the topic "which city makes you happy", the cast of the new sauce basically took shape. In July, the New First-tier City Research Institute was formally established. Study all six full-time editors, including chief editor Shen Congle, two journalists, 1 editor, 1 American editor and 1 marketing manager. All girls, mostly post-90s.

They use data news to explore and analyze the commercial charm and lifestyle development of China city. They played all kinds of classification, tourism, shopping and entertainment, "why there is no foreign convenience store in Nanjing" and "why Suzhou opened the first Eslite bookstore", and fresh perspectives emerged one after another.

What is a new first-tier city? It is a new concept, which promotes the cities that were originally positioned as second-tier cities. No, the goal of the new sauce is to "find the next first-tier city", and the list is not fixed. "North to Guangzhou and Shenzhen" should also have a sense of crisis. If you don't advance, you will retreat.

Digging data is digging treasure.

The view of Xinyi sauce is that the future of the city depends on its attraction to young people. It is not difficult to know what young people in every city are thinking or excited about. They are a generation inseparable from the internet and mobile phones, leaving most of their life footprints on the internet.

How to mine data? One source is the major Internet companies. The penetration rate of mainstream Internet companies in new first-tier cities is high enough, and their big data can paint a roughly accurate portrait of the living conditions of urban youth. In the topic "Which city makes you feel happy", the data of JD.COM, Dianping, Alipay, Youku, where to go, Didi taxi, WeChat movie tickets, Zhihu and LinkedIn are used. Almost all the heads of these companies have gone to Wuzhen to attend the world internet conference, and they often get together on other occasions. But it doesn't make sense for them to synthesize the data separately. It is easier for the media to do this.

It is relatively easy to get data from Ali, so it is a family member. However, the media should be impartial. According to the needs of the topic, BAT data can exist in one chart at the same time. Xinyi sauce said that Internet companies are willing to enjoy data and cooperate with the media. The reporter gave them the demand, and they went to run out this part of the data.

This method has some shortcomings and poor controllability. You think company A has this data, and company A agrees to give it, but the data finally obtained may not meet the requirements, and the time is not easy to control. Many companies regard data as their core competitiveness and cannot take it out without reservation. Listed companies will also be stopped by the financial department.

If you want to control it, do it yourself and grab it by technical means. To this end, several journalists and editors from liberal arts have learned to write codes. At first, a girl knew a little. She taught herself to everyone. After half a year, all six girls became experts in programming, and interns were no exception.

What you grab is public information, which is obtained from the front end of the website. Of course, even if it is public information, there is nothing wrong with a single message. Collecting thousands of pieces together to analyze the law is different, and some of them will be a little sensitive. However, isn't news all about discovery? In the new sauce, a reliable intimate partner, a large computer with 32 GB memory, runs data day and night. Recently, more than 654.38+10,000 pieces of data have been used in the topics of housing prices and high-speed rail. If you manually extract one by one, it is theoretically possible, and it takes ten days and a half months.

There are disadvantages to robbing yourself. After all, I am an outsider, and I don't know if people are particular about it. Many companies actively seek cooperation. Will there be something fishy? Xinyijiang believes that it is very difficult to forge big data.

The whole project is to study the development of cities, and the accumulation of data is very important. Therefore, the more partners the better. As for the topic selection, adhere to independence and be undisturbed.

With the data, Xinyi studied databases and algorithms by herself, and also asked researchers for advice to mine treasures from the data.

Quantitative confidence

Why study cities? Edward Gl, a professor at Harvard University, pointed out in his book "Victory of the City" that although the city is facing such problems, its attraction is growing. In a country with a relatively large urban population, residents are more likely to feel happy. If we think from the perspective of innovation, we will understand this kind of happiness-a yearning for civilization.

Cities are the engines of innovation. Whether the city is happy or not determines the future destiny of the city and the future destiny of the country.

The number of cafes on the street corner, the activity of users in Zhihu, the box office of movies, the richness of catering varieties and the efficiency of the transportation system are all part of the city's happiness. You don't have to argue about your personal feelings, and you don't have to consider how many cities you have been to before you can have a say. Big data provides the operability of quantitative comparison.

A new sauce first lists five dimensions, and a city with balanced development of five dimensions can make young people feel happy:

First of all, it should be able to provide enough choices so that young people can freely choose their lifestyle. It also needs to be an open city to satisfy the curiosity of young people to explore more possibilities. Efficiency and information symmetry can promote innovation, and also free young people from trivial matters and focus more on what they love. Convenience will attract more young people to gather together, while a good lifestyle will prevent the city from getting old.

Large companies are the main body of reshaping cities. Many indicators with more modern commercial significance, such as per capita income, educational resources, and the choice of big companies and brands, all mean that big companies and entrepreneurs choose to invest in a certain place in the future, all of which are based on their confidence in the future. The number of foreign consulates and international airlines is also a quantifiable confidence to some extent.

According to these indicators, Xinyi Sauce ranks young people's happiness in life in China 120 cities. From the calculation results, the status of the first-tier cities in the north, Guangzhou and Shenzhen has not been shaken, while Chengdu, Suzhou, Hangzhou, Ningbo, Wuhan, Xiamen, Qingdao, Tianjin, Xi 'an, Shenyang, Kunming, Dongguan, Dalian, Nanjing, Wuxi and Fuzhou, which are closely followed, have become the "new first-tier" cities for young people's happiness.

Other cities also have their own strengths. For example, the indicator of "biodiversity" comes from the formulation of "biodiversity". Let's just say, let's eat. Public comments divided the catering into 68 cuisines, and the new sauce was merged into more than 20. Looking at the distribution of these cuisines in various cities, it is found that the richest is not the first-tier cities. Xinyi sauce thinks that this result is more in line with cognition. Who doesn't say that the pace of first-tier cities is too fast and the pressure is too great, and small and medium-sized cities are more suitable for life?

Discover new growth poles

After the data of a selected topic comes out, it is often possible to catch more interesting points than originally thought. Xinyi sauce has made many unexpected and reasonable new discoveries.

"white day" made a topic about express parcel freight, named "Valentine's Day Gift". The results show that from the price point of view, Anhui may be included in the postal service areas of Jiangsu, Zhejiang and Shanghai, and there are also several happy "communities" in the country that provide postal services. The freight of express delivery depends on the development of express delivery industry, the close relationship between cities and other factors, and the distance is not the first. Being able to package postal services means that these cities have strong purchasing power and close economic ties with other cities, and the economic growth potential of the new postal service area should not be underestimated.

Changsha is a city of entertainment, and the output value of cultural and creative industries is growing rapidly. With the influx of young TV talents, cultural and creative industries accounted for 8.88% of GDP, and high-end hotel brands also entered rapidly.

The most "dark horse" is Chengdu, which was rated as "New First-tier City 1" by Xinyijiang. As a big city in southwest China, Chengdu's GDP is not as high as Chongqing's. Chongqing is a municipality directly under the central government and Chengdu is the provincial capital, but in various rankings, Chengdu ranks higher than Chongqing. Among the new first-tier cities, Chengdu is the most suitable for starting a business and has the most international routes. It is the most attractive and convenient city in the eyes of the company.

More dark horses are hidden in the second, third and fourth tier cities. In the past two years, Ma Yun and Liu have been calling for e-commerce to go to the countryside, investing a lot of manpower and material resources from the county to the countryside, setting up distribution and logistics, and teaching villagers to shop online. They have long seen that the markets in first-and second-tier cities are basically saturated, and new growth points are in third-and fourth-tier cities and rural areas. Haitao, which sounds more "foreign", compares the data of cross-border e-commerce and new sauce. The purchasing power of users in third-tier cities is even higher than the average level of first-tier cities. They analyzed that the residents of the third-and fourth-tier cities should be the people who have the most access to Haitao. It is difficult for them to buy diversified and synchronized goods from physical stores, and the shopping channels are relatively concentrated; There are many choices for residents in big cities and scattered users. On average, this figure is lower.

A row of big data, the harvest is the great discovery of the city, China's new economic growth is very faintly visible.

Reporter's notes

More treasure diggers

Because I tried to do similar (but far away from them) city data news, I have a feeling for the new sauce.

The value of big data city research is self-evident. Many organizations are studying cities under big data. In BAT, Taobao/Tmall likes to share the images they draw for consumers in various dimensions such as constellation, gender and age, and the most commonly used dimension is region. "Shanghai men love their wives the most", "Beijing men have the most friends", and so on.

Compared with large companies and professional scientific research institutions, the data source, research methods, theoretical reserves and chart making of Xinyi sauce are not perfect. But they have their own advantages, and the biggest advantage is that they can get through data from various sources to a certain extent.

Traditional consulting companies rely more on sampling statistics and empirical methods to help commercial brands make relevant decisions. In the era of big data, user behavior analysis can bring more accurate analysis. Internet big data is scattered in various Internet companies, which can really be excavated and turned into commercial value. There is no mature model at present.

Providing rich, interesting and valuable data content and services for urban managers, urban pioneers and urban people, Xinyi sauce calls itself "ambitious".

This "ambition", the reporter hopes that not only these six sisters have it. Accurately boosting economic growth and happiness in life, the level of big data digging treasure is still too shallow!

The above content is reproduced by IOT media. If there is any infringement, delete.