id
string | instruction
string | type
string | hardness
string |
|---|---|---|---|
di-text-001
|
Use the mean to fill in missing values, then identify the countries with the highest and lowest population densities in the dataset. Please output the answers below in JSON format by filling in the placeholders in:
'''
{
"highest country": [...],
"lowest country": [...]
}
'''
|
Data Insight
|
Medium
|
di-text-002
|
Use the mean to fill in missing values and identify which country allocates the highest percentage of their land for agricultural purposes. Please directly provide the answer below as text in the format:
'''
{
"highest country": [...],
"Agricultural Land %": [...]
}
'''
|
Data Insight
|
Medium
|
di-text-003
|
Use the mean to fill in missing values and identify the top 5 countries with the highest and lowest birth rates. Sort them from highest to lowest. Please output the answers below in JSON format by filling in the placeholders in:
"""
{
"Top 5 countries with High Birth Rate": [...],
"Top 5 countries with Lowest Birth Rate": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-004
|
Use the label mapping from tips.md to transform the labels and calculate the most frequent experience level and its corresponding ratio (as a decimal). Please directly provide the answers below as text in the following format:
"""
{
"The most frequent experience level": [...],
"ratio": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-005
|
Compile the total gold medals won by each country in the Olympics. List the top three countries by gold medal count in descending order using this format:
"""
{
"Regions": [...],
"Medal": [...]
}
"""
|
Data Insight
|
Easy
|
di-text-006
|
Find out which three sports China has won the most gold medals in. Work out what percentage of their total golds each sport makes up. List the sports from highest to lowest percentage and format it like this:
"""
{
"Sports": [...],
"Ratio": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-007
|
Look at the student salary data and figure out what salary 75% of the students make less than. The options are A: 9k, B: 10K, C: 8k, D: 5k. Pick the right answer and format it like this:
"""
{
"answer": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-008
|
Determine the top interests or activities for men and women. Present your findings in the following format:
"""
{
"men": [...],
"women": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-009
|
Could you please analyze the dataset to calculate the correlations between different features? Determine if the common criticism of "The World Happiness Report" having a high focus on GDP and strongly correlated features like family and life expectancy is valid. Present your response in the following format(Yes or No):
"""
{
"answer": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-010
|
Examine the dataset to find out the year when India's economy was at its highest, the year it declined, and the year it started to recover. Format your findings as follows:
"""
{
"peak": [...],
"dropped": [...],
"recovered": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-011
|
Could you please analyze the matches between Argentina and Brazil? Record the total number of matches, the number of wins for each team, and the number of draws. Indicate if Brazil has won more matches ("Yes" or "No"). Present your findings in the following format:
"""
{
"Total Matches between Argentina and Brazil": [...],
"Arg Wins": [...],
"Brazil Wins": [...],
"Draws": [...],
"Result": [...]
}
"""
|
Data Insight
|
Hard
|
di-text-012
|
Analyze the dataset to determine which main category (‘category_1’) contains the highest-selling product, and identify the sub-categories (‘category_2’) of the top two highest-selling products. Please directly provide the answers below in the following format:
"""
{
"Most Products by main category": [...],
"Top 2 Most Products by Sub-Category": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-013
|
You are working on a project for a music analytics company. Verify the statement "more energetic tracks tend to be more loud" using the given dataset. Additionally, assess the correlation between loudness and energy levels of tracks. Answer with "Y" if the statement is true, otherwise "N". For the correlation, respond with "Positive" if it is positive or "Negative" if it is negative. Format your response in the following way:
"""
{
"answer": ["Y"/"N"],
"relationship": ["Positive"/"Negative"]
}
"""
|
Data Insight
|
Medium
|
di-text-014
|
You are a data analyst at a music streaming company. Your task is to determine whether the statement "as the energy of a track increases, the amount of acoustic instruments increase" is accurate. Additionally, analyze the correlation between the energy and acousticness of a track. Respond with "Y" if the statement is true, otherwise respond with "N". For the correlation, respond with "Positive" if it is positive, otherwise respond with "Negative". Format your response as follows:
"""
{
"answer": ["Y"/"N"],
"relationship": ["Positive"/"Negative"]
}
"""
|
Data Insight
|
Medium
|
di-text-015
|
You are working on a project for a market analysis firm. Your task is to identify the seasonal trends in the Superstore sales data. Based on your findings, select the most fitting description for each period from the following: "Generally stable trend", "Sharp downward trend", "Sales increase", "Sales drop", "Sales rise". Format your response as follows:
"""
{
"November-December": [...],
"January": [...],
"February-March": [...],
"April-August": [...],
"October": "Sharp [...]
}
"""
|
Data Insight
|
Medium
|
di-text-016
|
As a data scientist for a fashion retailer, you need to examine the sales data to identify the top five states with the highest clothing spending. Your response should be formatted like this:
"""
{
"Top five states": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-017
|
Analyze the data to determine the popularity of different categories among various age groups. Based on your findings, select the most fitting description for each category from the following: ‘Most famous in 45-55 age group’, ‘Most popular among all age groups’, ‘Equally famous in all age groups except 15-25 and 65-75’, or ‘Almost equally famous in all age groups’. Please directly provide the answers below in the following format:
"""
{
"Clothing": [...],
"Accessories": [...],
"Footwear": [...],
"Outerwear": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-018
|
You are a data analyst for a retail chain. Your task is to analyze the data to determine the order of store count, size, and weekly sales for stores A, B, and C from highest to lowest. Format your response as follows:
"""
{
"Store count": [...],
"Size": [...],
"Weekly sales": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-019
|
You are working on a project for a sports analytics firm. Your task is to determine the number of wins and losses Chennai Super Kings have had in Mumbai Stadium by analyzing the provided data. Format your response as follows:
"""
{
"Wins": [...],
"Losses": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-020
|
You are working on a project for a sports analytics firm. Your task is to determine the average number of matches won and lost by Chennai Super Kings in Chennai by analyzing the provided data. Format your response as follows:
{
"Average matches won": [...],
"Average matches lost": [...]
}
|
Data Insight
|
Medium
|
di-text-021
|
As a data scientist for a restaurant chain, examine the data to identify the city with the highest concentration of restaurants. Please directly provide the answers below in the following format:
"""
{
"City": [...],
"State": [...],
"Number of Restaurants": [...]
}
"""
|
Data Insight
|
Easy
|
di-text-022
|
As a data scientist for a financial services company, you need to examine the salary data to determine the patterns of change from 2020 to 2021, 2021 to 2022, and 2022 to 2023. Select the appropriate description from these options: "Similar pattern of progress", "Not much change", "Continual changes". Your response should be formatted like this:
"""
{
"2020-2021": [...],
"2021-2022": [...],
"2022-2023": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-023
|
You are a data analyst for a human resources consulting firm. Your task is to analyze the data to determine the average salaries for Experienced professionals, Seniors, Mid-Level employees, and Entry-Level positions, rounded to the nearest integer. Format your response as follows:
"""
{
"Experienced professionals": [...],
"Seniors": [...],
"Mid-Level employees": [...],
"Entry-Level positions": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-024
|
You are working on a project for an economic research institute. Your task is to analyze the data to determine the average salaries for Full-Time employees, Contractors, Freelancers, and Part-Time workers, rounded to the nearest integer. Format your response as follows:
"""
{
"Full-Time employees": [...],
"Contractors": [...],
"Freelancers": [...],
"Part-Time workers": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-025
|
As a data scientist for a global consultancy, examine the salary data to find the average data science salaries in Illinois (IL), Puerto Rico (PR), the United States (US), Russia (RU), and Canada (CA). Round the results to the nearest integer. Please directly provide the answers below in the following format:
"""
{
"Illinois (IL)": [...],
"Puerto Rico (PR)": [...],
"United States (US)": [...],
"Russia (RU)": [...],
"Canada (CA)": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-026
|
As a data scientist for a video game analytics company, examine the data to find the top 3 years with the highest number of game releases, and also provide the number of games released each year from 2008 to 2010. Please directly provide the answers below in the following format:
"""
{
"Top 3 year had the most game release": [...],
"2008-2010": [...]
}
"""
|
Data Insight
|
Easy
|
di-text-027
|
As part of an epidemiology research project, identify the counties with the highest and lowest average annual diagnosed cases. Provide the county names in the format ‘Bullock County, Alabama’. Please directly provide the answers below in the following format:
"""
{
"Fewest average annual cases diagnosed County": [...],
"Most average annual cases diagnosed County": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-028
|
You are working on a project for a national cancer research center. Your task is to analyze the provided data to determine the rough estimate of the average number of cancer cases cured/recovered annually and the chance of recovery from all-cause cancer in any given year in the US. Format your response as follows:
"""
{
"Average cases cured/recovered in a year": [...],
"Chance of recovery from all-cause cancer in any given year": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-029
|
You are tasked with analyzing economic data for a government advisory body. Your objective is to identify strong positive and negative correlations (absolute value > 0.5) between economic indicators. Replace missing values with np.nan. Report the correlated variable pairs in the format ["Indicator 1", "Indicator 2"]. Format your response as follows:
{
"Strong Positive Correlation (>=0.5)": [...],
"Strong Negative Correlation (<=-0.5)": [...]
}
|
Data Insight
|
Medium
|
di-text-030
|
Examine the dataset to find out how many female athletes competed in the 1900 Summer Olympics. Report the count in the following format:
"""
{
"record": [number_of_female_athletes]
}
"""
|
Data Insight
|
Easy
|
di-text-031
|
Examine the data to identify the trend in the count of paid apps with increasing price, answering with "increase" or "decrease." Choose an appropriate upper price limit for apps from 10, 30, and 60 dollars that reflects the majority of app prices and a reasonable maximum. Present your findings in this format:
"""
{
"correlation": [...],
"upper bound($)": [selected_price]
}
"""
|
Data Insight
|
Medium
|
di-text-032
|
Analyze the data to select the most appropriate upper price limit for paid gaming apps from 10, 25, and 40 dollars. Additionally, compare the price ranges of various app categories to determine whether the price range for paid entertainment apps is ‘lower’ or ‘higher.’ Please directly provide the answers below as text in the following format:
“”“
{
"upper bound($)": [...],
"Paid entertainment apps' price range": [...]
}
”“”
|
Data Insight
|
Medium
|
di-text-033
|
Analyze the data to determine whether apps get pricier as their size increases. Respond with "Yes" or "No." Format your response as follows:
"""
{
"answer": ["Yes"/"No"]
}
"""
|
Data Insight
|
Medium
|
di-text-034
|
Analyze the provided data to identify the top 2 main genres for both PS3 and XB360 platforms. Format your response as follows:
"""
{
"Top 2 main genre game": [genre1, genre2]
}
"""
|
Data Insight
|
Medium
|
di-text-035
|
Analyze the dataset to identify variables that are strongly correlated with the "satisfaction" variable (absolute correlation > 0.4). Report the variables with strong positive and negative correlations in the following format:
"""
{
"Strong Positively Correlated": [...],
"Strong Negatively Correlated": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-036
|
Examine the data to identify the most frequent starting point and stop destination for drivers. Present your findings in the specified format:
"""
{
"most popular starting point": [...],
"most popular stop destination": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-037
|
For the given dataset, analyze which distance category—["short distanced", "middle distanced", "long distanced"]—is most frequently associated with Uber trips. Report your results in the following format:
"""
{
"most number of distanced trip": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-038
|
Analyze the distribution on goal scoring trends for Defenders, Forwards, and Midfielders in 2021. Identify the correct insights from the options below:
- Higher density in the 0 to 20 mark, indicating many capable of scoring a goal or two.
- Likeliest to not score a goal throughout the year.
- Most likely to score a lot of goals.
Format your response as:
{
"Defenders": [...],
"Forwards": [...],
"Midfielders": [...]
}
|
Data Insight
|
Medium
|
di-text-039
|
Determine the Top 4 programming languages most commonly asked for in Google Jobs. Count the number of times each appears in the dataset. Format your response like this:
"""
{
"Top 4 Popular Program Language": [...],
"Count": [...]
}
"""
|
Data Insight
|
Hard
|
di-text-040
|
Identify the Top 3 years of experience most commonly required for Google Jobs. Count how often each appears in the dataset. Format your response like this:
"""
{
"Top 3 Years of experiences are needed": [...],
"Count": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-041
|
Determine if there are outliers in the student study duration and scores data, responding with "Yes" or "No". Also, identify if there is a strong linear relationship between study duration and scores, responding with "Yes" or "No". Present your answer in this format:
"""
{
"outlier": [...],
"linear relation": [...]
}
"""
|
Data Insight
|
Medium
|
di-text-042
|
Examine the data from 2020 to 2022 to find the specific month and year when the cost was at its highest. Additionally, determine when the cost started rising in 2021 and reached its first peak. Use the format "Jun 2021" for your answers. Present your findings in this format:
"""
{
"Lowest price": [...],
"Peak": [...]
}
"""
|
Data Insight
|
Medium
|
di-csv-001
|
“Retrieve the year-to-date performance of the Magnificent 7 stocks by calculating the percentage change in their prices from the beginning of the current year to the most recent available data. Use the provided template for result.csv and ensure that the results are filled in according to the specified column names
|
Data Insight
|
Hard
|
di-csv-002
|
Review the book data and identify the protagonist for each book. Input this information into result.csv using the provided template, ensuring the results follow the specified format.
|
Data Insight
|
Medium
|
di-csv-003
|
Pull the most recent stock performance data for Amazon, Facebook, and the S&P 500. Calculate the average daily return differences between Amazon and the S&P 500, as well as between Facebook and the S&P 500. Fill the results into result.csv following the provided template.”
|
Data Insight
|
Medium
|
di-csv-004
|
Retrieve the latest Fortune 500 list and rank the companies. Highlight those that operate under large conglomerates and fill the ranked list in result.csv, following the provided template.
|
Data Insight
|
Medium
|
di-csv-005
|
Analyze which sectors have had the highest average company valuations over the past three years. Identify any standout new companies within those sectors and fill the results into result.csv, ensuring the data follows the provided template.
|
Data Insight
|
Medium
|
di-csv-006
|
Analyze the impact of handwashing, which began on 1847-06-01, on the monthly proportion of deaths. Calculate the average reduction in monthly deaths and fill the results into result.csv according to the provided template.
|
Data Insight
|
Easy
|
di-csv-007
|
Identify the match with the largest score difference in the Spanish league. Save the details of that match in max_score_difference.csv, following the provided format.
|
Data Insight
|
Medium
|
di-csv-008
|
Which country's league performs the best in terms of average home team scores? Fill the country and its average home team scores to 'result.csv'.
|
Data Insight
|
Medium
|
di-csv-009
|
Calculate the distribution of players across different height ranges. Identify the specific height with the highest number of players and its corresponding count. Fill this information in result.csv, following the provided format.
|
Data Insight
|
Easy
|
di-csv-010
|
Determine the number of individual wrestlers and tag teams in the Wrestlers table. Also, check if there are any three-man teams in the table. Fill the results into result.csv using the provided format
|
Data Insight
|
Medium
|
di-csv-011
|
Count the total number of title belts, excluding any titles that contain the phrase ‘title change.’ Do not count the Money in the Bank Briefcase, King of the Ring, spots in the Royal Rumble, interim championships, or the Dusty Rhodes Tag Team Classic Cup as titles. Fill the results into result.csv following the provided template.
|
Data Insight
|
Medium
|
di-csv-012
|
Count the number of title belts for each of the following promotions: WWE, WWF, WCW, NXT, and ECW. Save the results in result.csv using the provided format.
|
Data Insight
|
Medium
|
di-csv-013
|
Count the number of title belts for each promotion and gender combination, including ECW (Male), NXT (Female and Male), WCW (Female and Male), WWE (Female and Male), and WWF (Female and Male). Fill the results into result.csv following the provided template.
|
Data Insight
|
Hard
|
di-csv-014
|
Count the number of title belts for tag teams in each promotion: NXT, WCW, WWE, and WWF. Save the results in result.csv using the provided format
|
Data Insight
|
Hard
|
di-csv-015
|
Identify the location that held the most wrestling events for each promotion. Save the results in result.csv using the provided format.
|
Data Insight
|
Easy
|
di-csv-016
|
Identify the wrestlers involved in the shortest title match for each title in NXT. Provide details about the card, including title, match duration, match type, win type, location, and event. Save the results in result.csv following the provided format.
|
Data Insight
|
Medium
|
di-csv-017
|
Identify the wrestlers with the highest win rate at Elimination Chamber. Provide the wrestler’s name and number of wins. Save the results in result.csv, following the provided format.
|
Data Insight
|
Easy
|
di-csv-018
|
Calculate the number of motorcycle riders killed in motorcycle accidents, grouped by age. Save the results in result.csv following the provided template.
|
Data Insight
|
Easy
|
di-csv-019
|
Explore the safety of motorcycle riders wearing helmets by analyzing the data. Include case ID, rider age, and helmet usage statistics in the query results. Save the results in result.csv following the provided template
|
Data Insight
|
Medium
|
di-csv-020
|
Calculate the age distribution and determine if the age distribution of movies and TV shows in the catalog is similar. Answer with "Yes" or "No" and save your response in answer.csv with the column name "answer."
|
Data Insight
|
Medium
|
di-csv-021
|
Identify the top 5 movies with the most days on the catalog and provide their details, including title, country, date added, and duration. Fill in the information according to the provided template in top_5_movies.csv.
|
Data Insight
|
Medium
|
di-csv-022
|
Identify the top 5 most recently added TV shows on the catalog and provide their details, including title, country, date added, and duration. Fill in the information according to the provided template in top_5_movies.csv.
|
Data Insight
|
Medium
|
di-csv-023
|
Examine the dataset to determine the top 5 genres among the best 100 K-Dramas. Fill the results into result.csv, following the provided template.
|
Data Insight
|
Medium
|
di-csv-024
|
Please evaluate the Students' Academic Performance Dataset to identify whether the variables in `sample_relation.csv` have a positive or negative effect on student success. Mark 1 under the respective column for a positive impact and 0 for a negative impact, following the format in `sample_relation.csv`. Fill your results into `Relation.csv`.
|
Data Insight
|
Medium
|
di-csv-025
|
Calculate the total balance for each customer associated with accounts, where the customer resides in Los Angeles. Save the results in result.csv, following the provided template.
|
Data Insight
|
Easy
|
di-csv-026
|
Identify the branch with the highest average account balance and record its details, including BRANCHID, BRANCHNAME, CITY, STATE, and AVG_ACCOUNT_BALANCE. Fill the results into result.csv using the provided format.
|
Data Insight
|
Easy
|
di-csv-027
|
Identify the customer with the most transactions in the Transactions table and record their customerID. Save the result in result.csv following the provided format.
|
Data Insight
|
Medium
|
di-csv-028
|
Identify the branch with the highest total balance across all of its accounts. Record its BranchID, BranchName, City, State, and Total_Balance. Save the results in result.csv following the provided format
|
Data Insight
|
Easy
|
di-csv-029
|
Which customer has the highest total balance across all of their accounts, including savings and checking accounts? Save the results to 'result.csv'.
|
Data Insight
|
Easy
|
di-csv-030
|
Identify the customer with the highest total balance across all of their accounts, including savings and checking accounts. Record their BranchID, BranchName, and City. Save the results in result.csv following the provided format
|
Data Insight
|
Medium
|
di-csv-031
|
Find the orders placed in 1998 with a total amount exceeding 10,000. Record the customerID, companyName, orderID, and total_amount. Sort the results in descending order by total_amount and save them to result.csv following the provided format
|
Data Insight
|
Medium
|
di-csv-032
|
Identify the customers who placed orders in 1998 with a total amount exceeding $15,000. Record their customerID, companyName, and total_amount. Sort the results in descending order based on total_amount and save them to a file named result.csv following the provided format.
|
Data Insight
|
Medium
|
di-csv-033
|
Identify the companies with a total order amount exceeding $10,000 in 1998. Record their customerID, companyName, and total_amount, and save the results to result.csv following the provided format
|
Data Insight
|
Medium
|
di-csv-034
|
Filter the orders where the quantity is greater than or equal to 60 and has multiple repeated quantities within the same order. Record their orderID, productID, unitPrice, quantity, and discount. Output the results to result.csv following the provided format.
|
Data Insight
|
Medium
|
di-csv-035
|
Calculate the total number of orders and the number of late orders for each employee. Record their employeeID, lastName, total orders, and late_orders, and save the results to result.csv following the provided format.
|
Data Insight
|
Medium
|
di-csv-036
|
Retrieve the total sales for each customer in the year 1998 and categorize them into different groups. Record their Customer ID, Company Name, Total, and Group, and save the results to result.csv following the provided format.
|
Data Insight
|
Medium
|
di-csv-037
|
Filter the data to include only supplier country and customer country information. Record the supplier_country and customer_country, and save the results to result.csv following the provided format.
|
Data Insight
|
Medium
|
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