A survey of sports fans was conducted to determine each fan's favorite sport. The table shows the results of the survey. Make a double-bar graph of the data.

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UpStudy AI · Accepted Answer

I'd be happy to help you create a double-bar graph to visualize the survey results of sports fans' favorite sports! However, I'll need the specific data from your survey to create an accurate graph. Since you mentioned a table but didn't provide the details, I'll provide a general guide on how to create a double-bar graph and include a sample using hypothetical data. You can apply this method to your actual data once you have it.

### What is a Double-Bar Graph?

A double-bar graph (also known as a grouped bar chart) is useful for comparing two sets of related data across various categories. For example, you might use it to compare the popularity of two different sports across various age groups or regions.

### Sample Data

Let's assume the survey collected data on favorite sports from two different groups of fans: **Group A** and **Group B**. Here's some hypothetical data:

| Sport       | Group A Fans | Group B Fans |
|-------------|--------------|--------------|
| Football    | 150          | 200          |
| Basketball  | 120          | 180          |
| Baseball    | 100          | 160          |
| Soccer      | 130          | 170          |
| Tennis      | 90           | 140          |

### Creating the Double-Bar Graph

You can create a double-bar graph using various tools such as Microsoft Excel, Google Sheets, or programming languages like Python. Below, I'll outline how to create one using **Microsoft Excel** and **Python (with Matplotlib)**.

---

#### **Method 1: Using Microsoft Excel**

1. **Enter Your Data:**
   - Open Excel and input your data in three columns: **Sport**, **Group A Fans**, and **Group B Fans**.

2. **Select the Data:**
   - Highlight the entire data range, including headers.

3. **Insert a Bar Chart:**
   - Go to the **Insert** tab.
   - Click on **Insert Column or Bar Chart**.
   - Choose **Clustered Bar** (this creates a grouped or double-bar graph).

4. **Customize the Chart:**
   - Add chart title, axis labels, and legend as needed.
   - Adjust colors to differentiate between Group A and Group B bars.

5. **Finalize:**
   - Review and adjust the chart for clarity and presentation.

**Example Visualization:**

![Double-Bar Graph Example](https://i.imgur.com/7D3V8Xn.png)

*(Note: The image is a placeholder. You can create a similar chart in Excel based on your actual data.)*

---

#### **Method 2: Using Python with Matplotlib**

If you're comfortable with programming, you can use Python's Matplotlib library to create a double-bar graph. Here's a sample script using the hypothetical data:

```python
import matplotlib.pyplot as plt
import numpy as np

# Sample data
sports = ['Football', 'Basketball', 'Baseball', 'Soccer', 'Tennis']
group_a = [150, 120, 100, 130, 90]
group_b = [200, 180, 160, 170, 140]

x = np.arange(len(sports))  # Label locations
width = 0.35  # Width of the bars

fig, ax = plt.subplots(figsize=(10, 6))
bars1 = ax.bar(x - width/2, group_a, width, label='Group A')
bars2 = ax.bar(x + width/2, group_b, width, label='Group B')

# Add some text for labels, title and custom x-axis tick labels
ax.set_ylabel('Number of Fans')
ax.set_title('Favorite Sports by Group')
ax.set_xticks(x)
ax.set_xticklabels(sports)
ax.legend()

# Add value labels on top of the bars
def add_labels(bars):
    for bar in bars:
        height = bar.get_height()
        ax.annotate('{}'.format(height),
                    xy=(bar.get_x() + bar.get_width() / 2, height),
                    xytext=(0, 3),  # 3 points vertical offset
                    textcoords="offset points",
                    ha='center', va='bottom')

add_labels(bars1)
add_labels(bars2)

plt.tight_layout()
plt.show()
```

**Steps to Run the Script:**

1. **Install Matplotlib (if not already installed):**
   ```bash
   pip install matplotlib
   ```

2. **Run the Script:**
   - Save the script to a file, e.g., `double_bar_graph.py`.
   - Execute the script using Python:
     ```bash
     python double_bar_graph.py
     ```

**Resulting Graph:**

The script will generate a double-bar graph with groups A and B side by side for each sport, complete with labels and a legend.

---

### Applying to Your Data

1. **Gather Your Data:**
   - Ensure you have the sports categories and the corresponding number of fans for each group you want to compare.

2. **Choose Your Tool:**
   - Decide whether to use Excel, Google Sheets, Python, or another tool based on your comfort level and resources.

3. **Follow the Steps:**
   - Use the provided methods as a guide to input your data and generate the graph.

4. **Customize as Needed:**
   - Adjust colors, labels, and styles to best represent your data and make the graph clear and informative.

---

If you provide the specific data from your survey, I can offer more tailored assistance or create a sample graph based on your information. Feel free to share the details!
To create a double-bar graph of the sports survey results, follow these steps: 1. **Gather Data:** Collect the number of fans for each sport in both groups. 2. **Choose a Tool:** Use Excel, Google Sheets, or Python with Matplotlib. 3. **Input Data:** Enter the sports and fan counts into your chosen tool. 4. **Create the Graph:** Use the tool's charting features to generate a double-bar graph comparing the two groups. 5. **Customize:** Add titles, labels, and legends for clarity. 6. **Review:** Ensure the graph accurately represents the survey data. If you provide your specific data, I can help create a more detailed graph tailored to your needs.

A survey of sports fans was conducted to determine each fan's favorite sport. The table shows the results of the survey. Make a double-bar graph of the data.

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