Table of contents
2 Five major advantages of TableAgent
3.1 Log in to the TableAgent platform
3.2 Conversational data analysis
[Optimization and improvement]
[Comparison between TableAgent and Wen Xin Yiyan - E Yan Yi Tu]
1 Introduction to TableAgent
TableAgent is a data integration and analysis platform that helps users easily collect, process and analyze data from multiple data sources. It provides a series of powerful functions, such as data import, data cleaning, data modeling, data query, data visualization and workflow, allowing users to conduct data analysis more efficiently and conveniently.
TableAgent supports multiple data sources (currently only csv files are supported), including relational databases, files, APIs, etc. Users can collect data from these data sources. After collecting data, TableAgent can automatically clean and process the data to remove noise and redundant information in the data. At the same time, TableAgent also provides various visualization tools to help users understand and analyze data more intuitively, TableAgent< /span> also supports custom workflows that can automate data integration and analysis tasks.
In short, Tableagent It is a powerful data integration and analysis platform that allows users Collect, process and analyze data, and provide various visualization and automation tools to improve the efficiency and accuracy of data analysis.
2 Five major advantages of TableAgent
● Conversational data analysis, what you need is what you get
● Private deployment, data security
● Support enterprise-level data analysis, large scale and high performance
● Support domain fine-tuning and specialization
● Transparent process, audit supervision
3 TaikoTableAgent
3.1 Register TableAgent Flat
TableAgent public land：https://tableagent.DataCanvas.com
Click to experience it now.
Fill in your mobile phone number, complete the security verification, click to get the verification code and fill it in, check automatic registration, and finally click to log in.
Registration page：
[After registration, you can use it 5 times for free. Once the number is used up, you can apply for certification to increase the number of times (15 times per day). 】
3.2 Conversational data analysis
We can upload or drag the file toTableAgent on the right side for subsequent data analysis.
【! ! ! Note: Please do not upload files involving sensitive information such as privacy and business secrets]
Example 1：
At the same time, in order for us to get started quickly, TableAgent provides some sample data sets for us to use.
We can just click on "Global University Ranking Information" for a simple try~
After clicking,TableAgent will load the data set file and ask some questions you want to ask.
At the same time, we will also have some doubts. What data is in the data set file 2023_QS_World_University_Rankings.csv ? At this time, we can click on the details in the lower left corner, and we can roughly see the general data situation in the file.
If you still want to see the detailed version at this time, you can click on the lower left corner 》dataframe
We can see the detailed information of the data in the file (but only the first hundred rows are displayed). It can be said that it is very detailed and covers a lot of university information. Directly to TableAgentlikes! 
Okay, next we can ask our questions in the box and press Enter to submit after completing the input.
In order to better checkTableAgentthe practicality of data analysis, I proposed thatI am going to engage in academia Research, from this aspect, which are the three most worthy universities for me to choose in China? Let’s evaluate the respective advantages of these three universities based on various indicators. It is best to draw a graph to visually compare important indicators. ’s problem, you can also see that I also asked to draw pictures for visual display, which can be said to be very "difficult", hahaha~
Unexpectedly, TableAgent can accurately analyze and summarize based on the data set file, and can also make charts at the same time, which is very powerful!
What surprised me more than that was thatTableAgent also generated some questions that I might ask based on the questions I asked.
The moment I clicked on the details, I was shocked! TableAgentList the analysis process of the problem just now in detail (including data analysis, filtering, functions used, etc.).
After the first experience, you can feel the powerful data analysis capabilities ofTableAgent. It can not only understand the data faster, but also understand the user's needs. Analyzing the requirements, we can also automatically write code, debug the code, run the code, and finally understand the data results generated by the code running to gain deep insights into the data. After fully understanding our intentions, we can provide satisfactory results. I have been attracted by the unique charm of TableAgent!
Example 2：
In order to feel moreTableAgent the data analysis capabilities and its practicality, I simply made a csv file for evaluation.
csv test file content:
We clickTableAgent on the right to upload the file. (The character set encoding of the uploaded file must be UTF-8)
We raised our problem:When I only had forty-one yuan in my pocket, but I had to buy three commodities, but I had to have watermelon, I gave the final solution and bought it. What product, calculate the final total cost, and draw a bar chart for visual display.
You can see that my problem is still very tricky. Let’s see how TableAgent solves it in the end.
It can be seen thatTableAgent perfectly solved our problem and provided a solution, but I am not satisfied at this time. And simply modify the problem to make it more tricky.
When I only have forty-one yuan in my pocket (it doesn’t have to be all spent, but there may be some leftover), I must buy three products, but I must have watermelon. I will give all the solutions, what products I bought, and calculate the final total cost. , and draw a histogram to visually display the total cost.
Could not be successfully resolved.
At the same time, if I choose to ask the question again, it will fail and cannot give the results we want. (Obviously, for the 41 yuan product including watermelon (watermelon-14￥), you can choose the 13￥ and 14￥/13￥ products, but no final solution is given. < /span>)
Cause :
It can be seen that there is a problem with the filtering conditions (the value of the 'price' column does not exceed 41 and the 'price' column is sorted in ascending order). I hope this aspect can be improved!
4 Summary
In short, Analysis of session data is TableAgent Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong Zhongzhong. One of the very important functions is that it allows users to quickly perform data analysis. By using conversational data analysis, users can quickly obtain the required data analysis results, which improves user work efficiency.
TableAgent contains many visualization tools, such as column charts, line charts, pie charts, etc., which can help users understand more intuitively and help users discover the differences in the data. Patterns and trends and gain valuable insights and ideas from them. TableAgent’s data analysis capabilities far exceed traditional spreadsheet software, such as Excel. It supports a variety of data sources and data formats, including databases, spreadsheets, text files, etc. Moreover, TableAgent has flexible data cleaning and transformation tools, as well as intelligent data modeling functions, allowing users to easily handle complex data analysis tasks. Overall, TableAgent is a data analysis tool worth trying!
TableAgentConversational data analysis, what you need is what you get! Everyone is a data analyst! ! !
[Optimization and improvement]
● Add the function of saving historical conversations. (To prevent accidentally clicking Clear, you will not be able to view the previous results)
● Login improvements. (Every time you log in, you need to log in with a mobile phone verification code)
【对BiTableAgentGiveBunshin One Word - EWord Yi图< a i=4>】
| Model comparison type |
TableAgent |
Wen Xin Yi Yan - E Yan Yi Picture |
| type |
A data processing and data visualization tool |
An Excel-based visual data analysis tool |
| data analysis |
Committed to providing comprehensive, efficient and secure data analysis solutions (helping users obtain valuable insights from data) |
More suitable for rapid analysis and visualization of small-scale data (allowing users to intuitively understand data changes and trends) |
| data processing |
Transparent, users can clearly understand the specific steps and results of data processing, which facilitates auditing and supervision. Process data automatically, reduce manual operations and improve work efficiency. |
Pay more attention to data visualization and simplified operations |
| Chart generation |
Committed to realizing automatic generation of charts and reducing users' manual drawing work. Various chart types are automatically generated based on data, allowing users to quickly generate the charts they need in a short time, thus improving efficiency. Supports a variety of chart types and styles, users can freely choose according to their own needs. Supports directly reading data from documents to create charts. Supports generating multiple charts at one time. |
It focuses more on the speed and ease of use of chart generation, and has more chart types to meet different data display needs. It will automatically recommend the best chart type to generate based on user requests and data types. Reading data directly from the document to create charts is not supported. Only one chart can be created, multiple charts cannot be generated at one time. |
| code generation |
Code can be automatically generated. It adopts efficient algorithms and optimized codes to process large amounts of data quickly. This allows users to generate a large number of charts in a short period of time, thereby improving data processing efficiency. |
It is implemented through drag-and-drop and configuration, and JavaScript and CSS code boxes are provided for users to customize. |
Comprehensive comparison, TableAgent It also shows its own unique data analysis and data processing methods, and some aspects can be compared with them. Wen Xin Yi Yan - E Yan Yi Tu is comparable to or even surpasses, but at the same time there are still some aspects that need to be improved and perfected, I also believe < a i=5>TableAgent will be able to launch better experiences and services in the future to bring you satisfactory results.
Everyone is welcome to experience it~TableAgent public beta address
https://tableagent.DataCanvas.com