The four stages of oil discovery and utilization were oil exploration, oil field development, oil and gas gathering and transportation, and oil refining.
They might use real - life examples. For example, if there are statistics about housing prices, they could tell the story of a family trying to buy a home in a high - priced market.
It's important as it makes data more accessible and understandable. By turning statistics into stories, Statistics Canada can engage a wider audience. People are more likely to remember and relate to information presented as a story rather than just raw data.
To use C language programming to implement "word statistics", you can follow the following steps:
1. Read an English novel and extract the words that need to be counted.
2. Store the words that need to be counted in a file. Each word in the file is separated by a space.
3. Write a C program that uses regular expressions to search for each word in the file and count the number of times the word appears.
4 Store the statistics in another file.
The following is a simple C program to count the number of occurrences of words in The Great Gatsby:
```c
#include <stdioh>
#include <stringh>
#include <fstream>
int main() {
//Read novel words
std::ifstream infile( Gatsbytxt);
std::string word;
while (infile >> word) {
//Count the number of times the word appears
int count = 0;
for (int i = 0; i < (int)std::strlen(word); i++) {
if (std::strstr(word ) == NULL) {
count++;
}
}
//Print the number of times the word appears
print f (%s appeared %d times/n word count);
}
//Close the file
infileclose();
return 0;
}
```
The program used the standard input stream and string processing functions to read the novel word file named "Gatsbytxy" and count the number of occurrences of each word. The "std::strlen" function in the program is used to calculate the length of the string. The "std:: strr" function is used to find the substring of the string. Finally, the program would output the statistics into a file named "countxt'.
It should be noted that this program is only a simple example. In practice, more complex algorithms and data structures may be needed to improve the accuracy and efficiency of statistics.
To use C programming language to achieve "word statistics", you can use a loop to traverse the entire novel and use a dictionary to store the key-value pairs of each word. You can then use the dictionary keys to find the corresponding value to count the number of occurrences of each word.
The following is an example code that uses a Python dictionary to store words and the number of times they appear:
```c
#include <stdioh>
#include <stdlibh>
#include <stringh>
#define MAX_size1000//length of the novel
//The dictionary stores words and the number of times they appear
std::string word_count_dict[MAX_SIZE];
int word_count[MAX_SIZE];
int main() {
//Read the novel file
chars * file_path = path/to/novel/filetxe;
if (fopen(file_path r stdin) == NULL) {
print (Unable to open file);
exit(1);
}
std::ifstream in(file_path std::ios::in);
if (inis_open()) {
while (ingood()) {
//Read a line of text
int word;
inread(&word sizeof(word));
if (inis_empty()) {
break;
}
word_count_dict[word]++;
//Store the word in the dictionary
inclose();
if (word_count_dictsize() > 0) {
for (int i = 0; i < word_count_dictsize(); i++) {
word_count[word_count_dict[i]]++;
}
}
}
} else {
print (Unable to open file);
exit(1);
}
//Print the statistics
print f (The number of words in the novel is:%d_count_dictsize());
//Close the file
inclose();
return 0;
}
```
Please note that this program can only count the first 1000 words of the novel file because the novel file may be too large for the C program to process. If you need to count more words, you need to use other data sources such as a database or a web server.
。I'm just a person who likes to read novels and can't draw pictures directly. But I can tell you how to construct a mind map of finding and discovering monsters 20,000 miles under the sea.
First of all, we need to determine the main mission and goal of finding monsters. In this story, the main task is to find a mysterious monster that is said to live in the depths of the sea. The goal was to find this monster and reveal its secrets.
Then, we can divide the process of finding monsters into several stages. The first stage was to explore the ocean and understand the surrounding environment. The second stage was to find the legendary monster and collect information about it. The third stage was to go deep into the sea to find traces of monsters. The fourth stage was to explore the depths of the sea with other divers.
Next, we can list the key events and tasks of each stage to help build a mind map. For example, when exploring the ocean, it might be necessary to conduct in-depth inspections, search for underwater caves and rocks, and inspect marine life and marine resources.
Finally, we can add goals and results for each stage, such as finding the monster and revealing its secrets or collecting more information about it. In this way, we can construct a detailed mind map of finding and discovering monsters 20,000 miles under the sea.
The latest box office statistics showed that " The Wandering Earth 2 " ranked tenth in the Chinese box office rankings with a total box office of 4.029 billion yuan. In the North American market, Argyll: The Secret Agent topped the box office on its opening weekend, with a total of about 35.3 million dollars. In addition, the box office of Chinese movies in 2023 had already exceeded 20 billion yuan, and the top ten movies had all exceeded 500 million yuan. However, the search results did not provide more information about the latest box office statistics.
The latest box office statistics showed that the total box office of the Spring Festival in 2024 had reached 8.016 billion yuan, with 163 million viewers. This number created a new box office record for the Spring Festival. The box office performance of the individual films was not mentioned.