Data Analysis Prompt
Perform basic data analysis on uploaded Excel spreadsheet: A Comprehensive Dataset of Area, Total Population, and Density Across Indian States.
Microsoft Copilot Response
Here's a summary of the basic data analysis performed on the dataset:
📊 Summary Statistics
For key numeric columns like area, population, and density:
| Metric | Area (Sq.Kms) | Pop. Density | Male | Female | Total | % Share to Total Pop. |
|---|---|---|---|---|---|---|
| Mean | 1,682.38 | 326.40 | 271,600 | 264,300 | 535,900 | 13.59% |
| Min | 123 | 28 | 18,030 | 17,560 | 35,644 | 1.93% |
| Max | 191,791 | 5,082 | 30,970,000 | 30,130,000 | 61,095,297 | 100% |
🏆 Top 5 Districts by Total Population
| District | Population |
|---|---|
| State Total | 61,095,297 |
| Bangalore (North) | 4,713,430 |
| Bangalore-South | 2,408,161 |
| Bangalore-East | 1,332,972 |
| Mysuru | 1,281,768 |
📉 Bottom 5 Districts by Total Population
| District | Population |
|---|---|
| Alnavara | 35,644 |
| Sringeri | 36,539 |
| Hulasuru | 38,628 |
| Hebri | 46,663 |
| Joida | 52,012 |
🏙️ Top 5 Districts by Population Density
| District | Density (per sq.km) |
|---|---|
| Hubballi Nagara | 5,082 |
| Mysuru | 1,581 |
| Mangalore | 1,570 |
| Yelahanka | 1,286 |
| Anekal | 977 |
🌾 Bottom 5 Districts by Population Density
| District | Density (per sq.km) |
|---|---|
| Joida | 28 |
| Kollegala (Hanur) | 34 |
| Yellapur | 60 |
| Narasimharajapura | 82 |
| Sringeri | 82 |
🔍 Notable Anomalies
- High Density: Hubballi Nagara, Mysuru, and Mangalore have extremely high population densities, indicating urban concentration.
- Low Population: Several districts like Alnavara, Sringeri, and Hulasuru have populations under 100,000, suggesting rural or less developed areas.
Would you like visualizations (e.g., bar charts or maps) or deeper insights like correlation analysis or clustering?
Gemini Response
Here's a basic analysis of the dataset you provided, which contains information on geographical area, population density, and population across Indian districts from the 2011 Census.
The dataset contains 228 entries and 8 columns: District, Geograpical Area (Sq.Kms), Population Density, Male, Female, Total, Percentage Share to Total Population, and Rank.
Here's a snapshot of the first 5 rows to give you an idea of the data:
| District | Geograpical Area (Sq.Kms) | Population Density | Male | Female | Total | Percentage Share to Total Population | Rank |
|---|---|---|---|---|---|---|---|
| Chikkodi | 851 | 419 | 181619 | 174525 | 356144 | 7.45 | 6.0 |
| Athani | 1554 | 240 | 190310 | 182265 | 372575 | 7.80 | 5.0 |
| Raibag | 952 | 426 | 207142 | 198347 | 405489 | 8.48 | 2.0 |
| Gokak | 1146 | 348 | 200104 | 198288 | 398392 | 8.34 | 4.0 |
| Hukkeri | 987 | 405 | 200490 | 198780 | 399270 | 8.35 | 3.0 |
Export to Sheets
Data Overview:
- District: This column is of object type (likely strings) and represents the name of the district.
- Geograpical Area (Sq.Kms): This is an int64 (integer) type, indicating the geographical area in square kilometers.
- Population Density: This is an int64 type, representing the population density.
- Male: This is an int64 type, representing the male population.
- Female: This is an int64 type, representing the female population.
- Total: This is an int64 type, representing the total population.
- Percentage Share to Total Population: This is a float64 (decimal) type, showing the percentage share of the population.
- Rank: This is a float64 type, which has 227 non-null values out of 228 total entries, indicating one missing value in this column.
Descriptive Statistics for Numerical Columns:
| Statistic | Geograpical Area (Sq.Kms) | Population Density | Male | Female | Total | Percentage Share to Total Population | Rank |
|---|---|---|---|---|---|---|---|
| Count | 228.0 | 228.0 | 228.00 | 228.00 | 228.00 | 228.00 | 227.00 |
| Mean | 1682.38 | 326.40 | 271637.31 | 264286.32 | 535923.63 | 13.59 | 4.61 |
| Std Dev | 12652.08 | 378.26 | 2050759.98 | 1994551.02 | 4045298.02 | 10.28 | 2.87 |
| Min | 123.00 | 28.00 | 18030.00 | 17565.00 | 35644.00 | 1.93 | 1.00 |
| 25% (Q1) | 538.50 | 186.00 | 66792.00 | 68187.00 | 134327.00 | 7.44 | 2.00 |
| 50% (Median/Q2) | 797.50 | 249.00 | 102708.50 | 102278.00 | 206412.00 | 10.44 | 4.00 |
| 75% (Q3) | 1064.50 | 352.50 | 143740.00 | 141615.00 | 284872.50 | 17.19 | 6.00 |
| Max | 191791.00 | 5082.00 | 30966658.00 | 30128642.00 | 61095300.00 | 100.00 | 14.00 |
From these statistics, we can observe:
- There's a significant range in Geographical Area (Sq.Kms), Population Density, and all population-related columns (Male, Female, Total), indicating diverse districts in the dataset.
- The max values for Male, Female, and Total populations are very high, suggesting the presence of some very large districts or potentially aggregated data at a higher administrative level within the dataset.
- The Rank column has one missing value, which might need to be addressed depending on further analysis.
- The Percentage Share to Total Population column seems to have a maximum of 100, implying some rows might represent aggregate totals or states rather than just districts.
Let me know if you'd like to delve deeper into specific aspects or columns of this dataset! For instance, we could visualize population density, analyze the relationship between area and population, or investigate the missing rank value.