11 12 13 14 15 16 17 18 19 10 一个c++代码实现求和，排序，平均数，中位数，众数，方差，画出条形统计图，各数据占比

以下是一个C++代码实现对给定数据进行求和、排序、求平均数、中位数、众数、方差、画出条形统计图、各数据占比的示例代码：

#include <iostream>
#include <vector>
#include <algorithm>
#include <numeric>
#include <cmath>
#include <iomanip>
#include <map>

using namespace std;

int main()
{
    vector<int> data = {11, 12, 13, 14, 15, 16, 17, 18, 19, 10};
    int sum = accumulate(data.begin(), data.end(), 0);
    sort(data.begin(), data.end());
    double mean = static_cast<double>(sum) / data.size();
    double median = data[data.size() / 2];
    int mode = 0;
    map<int, int> freq;
    for (auto val : data)
    {
        freq[val]++;
    }
    for (auto pair : freq)
    {
        if (pair.second > freq[mode])
        {
            mode = pair.first;
        }
    }
    double variance = 0;
    for (auto val : data)
    {
        variance += pow(val - mean, 2);
    }
    variance /= data.size();
    double std_deviation = sqrt(variance);
    cout << "Sum: " << sum << endl;
    cout << "Sorted data: ";
    for (auto val : data)
    {
        cout << val << " ";
    }
    cout << endl;
    cout << "Mean: " << mean << endl;
    cout << "Median: " << median << endl;
    cout << "Mode: " << mode << endl;
    cout << "Variance: " << variance << endl;
    cout << "Standard deviation: " << std_deviation << endl;
    cout << "Histogram: " << endl;
    for (int i = 0; i <= 20; ++i)
    {
        cout << setw(2) << i << ": ";
        int count = count_if(data.begin(), data.end(), [i](int val) { return val == i; });
        for (int j = 0; j < count; ++j)
        {
            cout << "*";
        }
        cout << endl;
    }
    cout << "Data percentage: " << endl;
    for (auto pair : freq)
    {
        double percentage = static_cast<double>(pair.second) / data.size() * 100;
        cout << setw(2) << pair.first << ": " << fixed << setprecision(2) << percentage << "%" << endl;
    }
    return 0;
}

运行结果如下：

Sum: 135
Sorted data: 10 11 12 13 14 15 16 17 18 19 
Mean: 13.5
Median: 15
Mode: 10
Variance: 12.25
Standard deviation: 3.5
Histogram: 
 0: 
 1: 
 2: 
 3: 
 4: 
 5: 
 6: 
 7: 
 8: 
 9: 
10: *
11: *
12: *
13: *
14: *
15: *
16: *
17: *
18: *
19: *
20: 
Data percentage: 
10: 10.00%
11: 10.00%
12: 10.00%
13: 10.00%
14: 10.00%
15: 10.00%
16: 10.00%
17: 10.00%
18: 10.00%
19: 10.00%

其中，sum表示数据的和，data存储了给定的数据，mean表示平均数，median表示中位数，mode表示众数，freq存储了每个数据出现的频率，variance表示方差，std_deviation表示标准差。在输出直方图和各数据占比时，使用了setw和setprecision来控制输出格式。