Question: Based on the CAT-related data in the data file, create a bar chart: the horizontal axis should use the column containing CAT-related exposure concentrations (e.g., "xxx xx mg/L"), with the axis title labeled "Exposure Concentration" translated as "Exposure Concentration"; the vertical axis should display the "CAT" indicator, with the axis title labeled "CAT"; sort in descending order by the vertical axis values. The chart title should be "CAT by Exposure Concentration Distribution", display data labels, retain 2 decimal places, and do not include "± xx".

1. The PtNP25 0.1 mg/L group has the highest CAT mean (86.69 U/mg FW)
2. The Control 0.0 mg/L group ranks second (80.87 U/mg FW)
3. The PtNP70 1.0 mg/L group has the lowest CAT value (6.55 U/mg FW), with significant differences among groups


Question: Based on the data in online_courses.csv, count the number of courses for each course category (the "category" field) and each platform (the "platform" field) respectively. Generate horizontal bar charts (bar charts) where the x-axis represents the number of courses and the y-axis represents the category or platform name, sorted in descending order by number of courses. Each chart must include the x-axis label "Number of Courses", the y-axis label "Category/Platform", and the chart title "Course Count Statistics (by Category/Platform)", and display data labels on each bar. Since two dimensions are being visualized, generate two separate horizontal bar charts.

I. Statistics by Category
 1. Finance courses are the most numerous (122 courses)
 2. The middle tier (Design, Data Science, etc.) have similar counts
 3. Technology courses are the fewest (88 courses)
II. Statistics by Platform
 1. The four major platforms are evenly distributed
 2. The maximum gap between platforms is only 32 courses


Question:
Shortcomings of Short-Video Platforms in Disseminating Local Culture and Tourism Information (Unit: %)\r\nData Distribution:\r\nExcessive Commercialization: 30%\r\nSevere Content Homogenization: 20%\r\nDifficulty Ensuring Information Authenticity: 30%\r\nOthers: 10%.
Create a bar chart based on the above information

1. The chart is a vertical bar chart displaying 4 problem categories in total.
2. "Over-commercialization" and "Difficulty guaranteeing information authenticity" are tied for the highest proportion, each at 30%.
3. The "Other" category has the lowest proportion, at only 10%.
4. "Severe content homogenization" has a moderate proportion of 20%.


Question:
I am a member of the company's data analytics team. We have a real estate dataset that needs to be analyzed by your team. The dataset contains 545 real estate records (already cleaned), with attributes including house price, house area, number of bedrooms, number of bathrooms, number of floors, whether it is located on a main road, whether it has a guest room, and other properties. Please convert the binary data fields (i.e., fields whose values are "yes" or "no") so that "yes" is encoded as 1 and "no" is encoded as 0. Output the converted dataset (must be submitted in Excel format).
Based on the processed data, please plot a heatmap to display the correlations between all fields, and provide analytical conclusions.

1. Both the horizontal and vertical axes contain 12 feature variables, such as price, area, bedrooms, etc.
2. Excluding the diagonal, the correlation coefficient between house price (price) and house area (area) is the highest, at 0.54.
3. The number of stories (stories) and basement (basement) show a negative correlation, with a coefficient of -0.17.


Question: Calculate the average tenure for each department and generate a bar chart. The department names must be clearly visible, and the average tenure value for each department should not be labeled on the chart.

Personnel Information Simulation Table-Visualization.xlsx

1. The chart displays a comparison of Average Tenure across 8 departments from A to H.
2. Department B has the highest Average Tenure, with a value exceeding 4.
3. Department A has the lowest Average Tenure, with a value of approximately 1.5.
4. Do not label the Average Tenure data for each department.


Question: Calculate the average tenure for each department, and generate a bar chart with department names clearly visible, with the average tenure data labeled for each department.

Personnel Information Simulation Table-Visualization.xlsx

1. The department with the highest Average Tenure is B, with a value of 4.38.
2. The value for Department F is 2.38.


Question: Create a bar chart showing the number of competitions for each department

2024 College Student Competition Projects.xlsx

1. The School of Modern Business has the highest number of competitions, with a value of 43.
2. There are 7 departments in the chart, and the data is arranged in descending order by value.
3. The Teaching Service Center and the Network and Information Service Center have the smallest values, both being 2.


Question: Create a pie chart based on the data in Sheet1 of the spreadsheet

1. The pie chart contains two sectors, where "believe there is an impact" has the highest proportion, with a value of 0.9455.
2. "believe there is no impact" has a smaller proportion, with a value of 0.0545.


Question: Based on the data for Tulong Information Co., Ltd. in the table, create a bar chart using the population count and actual elderly population data

2024 physical examination rate spring compilation.xlsx


Question: Help me generate a project plan Gantt chart (each process defaults to a duration of 3 months). Tasks under the same objective should use the same color and be placed on the same row. The horizontal axis is "Time", starting from 2024-12, with every month displayed. The vertical axis is "Project Module". The title should be "Drone Project Plan Gantt Chart". Add a legend in the upper-right corner explaining the color corresponding to each project module.

1. There must be exactly four rows, each in a different color
2. The horizontal axis must be "Time", starting from 2024-12, with every month displayed. The vertical axis must be "Project Module". The title must be "Drone Project Plan Gantt Chart". There must be a legend in the upper right corner indicating the project module corresponding to each color
3. The text inside each block in the chart must be correct


Question:
Based on the crop data in "Attachment 2.xlsx", calculate the correlation coefficients among yield per mu, planting cost, and selling unit price, and generate a correlation heatmap.
Specific requirements:
Both the horizontal and vertical axes represent the three indicators involved in the analysis (Yield per Mu / Jin, Planting Cost / (Yuan/Mu), Selling Unit Price / (Yuan/Jin));
If the selling unit price data is in interval format (e.g., "2.50-4.00"), use the average of the interval as the unit price for that crop in the calculation;
The chart title should be "Correlation Heatmap of Crop Yield per Mu, Cost, and Unit Price"; display correlation coefficient data labels inside the matrix cells; retain 2 decimal places; colors should clearly distinguish between positive and negative correlations.

1. Yield per Mu vs Planting Cost (0.79): Shows a strong positive correlation — crops with higher yield per mu tend to have higher planting costs.
2. Yield per Mu vs Selling Unit Price (-0.36): Shows a weak negative correlation — crops with higher yields tend to have lower unit prices.
3. Planting Cost vs Selling Unit Price (-0.21): Shows a weak negative correlation — crops with higher costs do not necessarily sell at higher prices.


Question:
Please create a scatter analysis chart titled 'Crop Planting Scale and Production Efficiency', with the following specific requirements:
Data Processing: Use 'Planting Area (mu)' as the horizontal axis (X-axis) and 'Yield per Mu / Jin' as the vertical axis (Y-axis).
Data Labels: Clearly label the corresponding Crop Name next to each data point in the chart.
Quadrant Division: Draw two reference lines passing through the mean values of the X-axis and Y-axis respectively, dividing the chart into four quadrants to visually distinguish which crops fall into categories such as 'High-Yield Large-Scale' or 'Low-Yield Niche'.
Chart Legend: The chart title is 'Scatter Analysis Chart of Crop Planting Scale and Production Efficiency'. In the upper-right corner, display the average Planting Area and average Yield per Mu / Jin in the form of a legend.

scatter analysis of crop planting scale and production efficiency.png

1. Most points are located in the lower-left corner.
2. There are no points in the high-yield large-area region.
3. The lowest-yield niche crop is oat (Oat (Youmai)).
4. Mung bean and millet are very close to each other.
5. Water spinach falls in the upper-left quadrant.


Question: First calculate the total Payment Amount for each of the top 7 Withdrawing Merchants, then generate a bar chart displayed in descending order by amount

1. All merchants are ranked in descending order by Payment Amount.
2. The merchant with the highest Payment Amount is "user_6", with an amount of 29455.00.
3. The merchant with the lowest Payment Amount is "user_19", with an amount of only 6936.00.


Question: Based on sheet3, generate a pie chart with the title "Category Proportion Pie Chart". Display the proportion values rounded to two decimal places in black font on the sectors, with the category names shown outside their corresponding sectors.

2024 middle school exam math analysis data archive.xlsx

1. Contains 4 category sectors in total.
2. "Mathematics Integrated into Life" has the highest proportion, reaching 52.94%.
3. "The Intersection of Mathematics and Technology" ranks second, accounting for 23.53%.
4. The smallest proportion is "The Integration of Mathematics and Humanities & Arts", accounting for only 5.88%.


Question: In the "Crop Planting Situation in 2023" table, for the "Crop Name" column, generate a pie chart (top 4 only, plus Others). Remove non-crop-name entries.

1. The largest share belongs to the "Others" category, reaching 61.8%.
2. Among specific crops, "Wheat" has the highest share at 11.8%.
3. Corn, Millet, and Chinese Cabbage have the same share, each at 8.8%.
4. The pie chart is divided into a total of 5 sectors.


Question: Help me create a trend chart of the Member TC achievement rate for Store 2 in August, and add a trendline. The chart title should be "August 2024 Store 2 Member TC Achievement Rate Trend Chart", the vertical axis title should be "TC Achievement Rate", and the horizontal axis title should be "Date". No need to provide statistical data.

1. The chart is a line chart with one trendline
2. The TC achievement rate fluctuates significantly throughout August, with the lowest value appearing on August 5 (approximately 0.408) and the highest value appearing on August 19 (approximately 0.833)
3. The trendline shows a slight upward trend


Question: In chronological order, present the Minute-level flow rate and Product price in the form of a line chart, and display the minute-level node data points on the chart.

1. The chart shows the trends of Minute-level flow rate and Product price over time (1 minute to 40 minutes).
2. Minute-level flow rate reaches its peak at minute 23, with a value of 1000.
3. The Minute-level flow rate line remains stable from minute 24 to minute 26, with a value of 666 throughout.
4. The red line (Product price) is not continuous and only displays data for certain time periods.


Question:
Help me analyze the workload comparison of three people in July and August 2024, using a combination chart (stacked bar chart + line chart). Use the stacked bar chart to display the workload of the three people, and use the line chart to show the trend.
Note:
1. There are four bars in total: July 2024 Proofreading, July 2024 Review, August 2024 Proofreading, and August 2024 Review. Two line series.
2. The same employee uses the same color in both Proofreading and Review.
3. Place the legend in the upper right corner.
4. Both vertical axes use the same range.
5. Label the stacked bar chart with values.

1. A total of four bar groups: July 2024 Proofreading, July 2024 Review, August 2024 Proofreading, and August 2024 Review. Two line series.
2. The same employee uses the same color in both Proofreading and Review.
3. Place the legend in the upper-right corner.
4. Both vertical axes use the same range.
5. Label the values on the stacked bar chart.
6. Trend Analysis:
Proofreading workload: July 46 → August 41, change -5 (-10.9%)
Review workload: July 27 → August 28, change +1 (+3.7%)


Question: Using 202401-202408 as the horizontal axis and the data in the third row as the vertical axis, create a line chart displaying three separate lines for: Sum of Sales Amount, Sum of Target, and Sum of Same Period Last Year

1. The chart displays the trends of three lines during the period from 202401 to 202408: "Sum of Sales Amount", "Sum of Target", and "Sum of Same Period Last Year".
2. "Sum of Sales Amount" reaches its highest point in 202401 (exceeding 900000), followed by a sharp decline in 202402.
3. "Sum of Target" starts at 0 in 202401, shows an overall upward trend, and reaches its highest value in 202408.


Question: Draw distribution charts of BMI for different age groups

2024 physical examination rate spring compilation.xlsx

1. The number of overweight people aged 65-69 years old exceeds 700.
2. The number of obese people aged 75-79 years old is between 100 and 200.


Question: Please create a line chart using the data from the table, with the title "Unit Cost and Unit Selling Price per Mu for Ordinary Greenhouse Crops"

1. The chart title is "Cost per Mu vs. Sale Price per Mu for Ordinary Greenhouse Crops", containing two lines: "Planting Cost / (Yuan/Mu)" and "Flat Dry Land Price per Mu".
2. The sale price of Yuhuang mushroom is the highest among all crops, with a peak close to 300,000 Yuan.
3. The overall trend shows that the sale price per Mu (orange line) for all listed crops is higher than their planting cost (blue line).


Question: Statistical Chart of the Relationship Between Gender and BMI

1. The median BMI of males (green line position, approximately 19.8) is noticeably higher than the median BMI of females (approximately 17.0).
2. The upper edge (maximum value) of both groups is close to 25, but the overall box position of males is higher than that of females, indicating a higher distribution.


Question: BMI and Test Score relationship, create a chart

1. The person with the highest Test Score is a male, with a BMI close to 16.
2. Most females have a Test Score around 110.
3. The person with the lowest Test Score is a male, with a BMI exceeding 24.


Question: Help me create a line chart of Body weight based on the Sheet1 data in the document

1. The chart title is "Body weight", showing the trend of body weight changes from data point 1 to data point 40.
2. The overall data presents a steady upward trend, with no obvious downward inflection point.
3. The body weight value increases from an initial 127.2 jin to a maximum of 131.5 jin.


Question: Draw a box plot, mark the upper bound of outliers with a green dashed line and label its value (rounded to two decimal places); mark the lower bound of outliers with a red dashed line and label its value (rounded to two decimal places). Add a legend in the upper right corner explaining what each colored line represents. The title should be "Box Plot of Data (Outlier Bounds Marked)"

1. A green dashed line must be used to mark the upper bound of outliers, with the value 70.77 labeled
2. A red dashed line must be used to mark the lower bound of outliers, with the value -13.82 labeled
3. There must be eight points (or circles) above the green dashed line


Question:
Based on the "Export Count_MS2class" data sheet in "combine_intensity_select.xlsx", extract the proportions for the two categories "Flavonoids" and "Isoquinolines and derivatives".
Combine all remaining categories in the table into "Others", ensuring that the sum of the three proportions equals 100%.
Please draw a pie chart to display the distribution of these three parts, with the chart title "Proportion Distribution of Key Compound Classifications", and show data labels (category name + percentage).

1. The "Others" category has the largest proportion, with a value of 93.4%.
2. "Flavonoids" has a proportion of 6.0%.
3. "Isoquinolines and derivatives" has the smallest proportion at 0.6%.


Question:
Generate a clustered bar chart based on the table data. Requirements:
Chart title: set to 'Statistical Comparison of Key and General Student Counts by Subject';
Horizontal axis (X-axis): categorized by 'Subject', with axis title named 'Subject';
Vertical axis (Y-axis): displays values, with axis title named 'Count';
Data series: display four metrics in parallel under the same subject — 'Key Count', 'Key Valid Count', 'General Count', and 'General Valid Count';
Legend: clearly label the colors of the four metrics, placed to the right or above the chart.

Comparison Chart of Key vs Regular Student Count Statistics by Subject.png

1. There are 4 legend entries on the right or top of the chart, which are Key Count, Key Valid Count, General Count, and General Valid Count.
2. The four bar values in the Math cluster are 13, 7, 38, and 31.
3. The highest value in General Count is 40, in the English subject.
4. The chart title is "Comparison of Key and General Student Counts by Subject".


Question: Based on students' "Junior High School Graduated From", create a pie chart

2024 xx No.1 High School College Entrance Exam Admission Honor Roll.xlsx

Junior High 21 (14 people), Junior High 9 (9 people), Junior High 5 (4 people), Junior High 22 (3 people), Junior High 12 (3 people), Junior High 37 (3 people), Junior High 17 (2 people), Junior High 14 (1 person), Junior High 31 (1 person)


Question: Based on the scores of the knowledge points examined in sheet2, generate a stacked bar proportion chart with the title "Proportion of Mathematics Culture Questions and Other Questions Each Year", the horizontal axis representing "Year", the vertical axis representing proportion, the legend displaying "Mathematics Culture Questions Proportion" and "Other Questions Proportion", and the vertical axis unit interval set to 0.2.

2024 middle school exam math analysis data archive.xlsx

1. The chart covers three years: 2022, 2023, and 2024.
2. The legend displays "Mathematics Culture Questions Proportion" and "Other Questions Proportion".
3. The sum of the proportions of the two question types for each year equals 1.0, with the Mathematics Culture Questions Proportion in 2023 and 2024 being roughly equal and higher than in 2022.


Question: Draw a line chart for bid-rigging crimes, without labeling the data values.

1. There is a noticeable decline between 2016 and 2017, dropping from around 80 to around 30.
2. The number of cases reached its peak in 2020, with the annotated value of 136.0.
3. Each data point on the line is labeled with a specific number, and the horizontal axis spans from 2010 to 2024.
4. No numerical labels are required.


Question: Draw a line chart for the crime of bid-rigging collusion, with year on the x-axis and number of cases on the y-axis. Label each point on the line chart with its value.

1. There is a notable decline between 2016 and 2017, dropping from around 80 to around 30.
2. The number of cases reaches its peak in 2020, with the annotated value of 136.0.
3. Each data point on the line chart is labeled with a specific number, and the horizontal axis spans from 2010 to 2024.
4. Each point is labeled with a number.


Question:
Please create a bar chart showing the Yield per Mu, planting cost per Mu, and Price per Mu for each crop in the table.
The left axis scale represents Yield per Mu, and the right axis scale represents Planting Cost and Price per Mu.

1. The left axis scale represents Yield per Mu / Jin, and the right axis scale represents Planting Cost / (Yuan/Mu) and Price per Mu. The horizontal axis displays 15 crops including peas, sweet potatoes, etc.
2. The Price per Mu of sweet potatoes is the highest among all crops, with a value exceeding 7000.
3. Pumpkin has the highest Yield per Mu / Jin, with a value approaching 3000 Jin.


Question: In "Related Statistics for 2023", first remove the data where the crop is a person's name, then generate a line chart using the Crop Name of terraced fields as the x-axis, and Yield per Mu / Jin and Planting Cost / (Yuan/Mu) as the 2 y-axes.

1. The chart uses dual Y-axes to display Yield per Mu / Jin and Planting Cost / (Yuan/Mu).
2. The Yield per Mu / Jin shows that "Pumpkin" has the highest yield per mu, significantly higher than other crops, with a value approaching 3000 Jin.
3. The Planting Cost / (Yuan/Mu) shows that "Sweet Potato" has the highest planting cost, with a peak value of approximately 2000 Yuan/Mu.


Question: Plot a histogram of all Change % data

1. The X-axis represents the Change % intervals, and the Y-axis represents frequency.
2. The interval with the highest frequency is the first interval [9.36%, 11.36%], with a value exceeding 120.
3. There is a significant secondary peak at the interval [29.36%, 31.36%], with a frequency close to 40.
4. The data distribution exhibits a clear long-tail characteristic, with the vast majority of data concentrated on the left side, while most intervals on the right side have a frequency of 0.


Question: Create a bar chart of shipping performance

1. The horizontal axis spans from June 2022 to August 2024.
2. The month with the highest performance is November 2022, with a value of 1835960.67.
3. The month with the lowest performance is January 2023, with a value of 454729.09.