Art of Stat: Explore Data
ASO Keyword Dashboard
Tracking 83 keywords for Art of Stat: Explore Data in Apple App Store
Art of Stat: Explore Data tracks 83 keywords (1 keyword ranks; 82 need traction). Key metrics: 0% top-10 coverage, opportunity 50.0, difficulty 38.9, best rank 166.
Tracked keywords
83
1 ranked • 82 not ranking yet
Top 10 coverage
0%
Best rank 166 • Latest leader —
Avg opportunity
50.0
Top keyword: create
Avg difficulty
38.9
Lower scores indicate easier wins
Opportunity leaders
- 84.7
create
Opportunity: 59.0 • Difficulty: 60.6 • Rank —
Competitors: 1,155
- 78.7
explore
Opportunity: 58.0 • Difficulty: 60.6 • Rank 185
Competitors: 711
- 68.6
art
Opportunity: 58.0 • Difficulty: 46.7 • Rank —
Competitors: 202
- 60.2
file
Opportunity: 58.0 • Difficulty: 48.7 • Rank —
Competitors: 86
- 61.7
program
Opportunity: 58.0 • Difficulty: 51.0 • Rank —
Competitors: 126
Unranked opportunities
create
Opportunity: 59.0 • Difficulty: 60.6 • Competitors: 1,155
art
Opportunity: 58.0 • Difficulty: 46.7 • Competitors: 202
file
Opportunity: 58.0 • Difficulty: 48.7 • Competitors: 86
program
Opportunity: 58.0 • Difficulty: 51.0 • Competitors: 126
basic
Opportunity: 58.0 • Difficulty: 42.1 • Competitors: 84
High competition keywords
create
Total apps: 5,537 • Major competitors: 1,155
Latest rank: — • Difficulty: 60.6
including
Total apps: 3,880 • Major competitors: 926
Latest rank: — • Difficulty: 62.0
easily
Total apps: 3,352 • Major competitors: 764
Latest rank: — • Difficulty: 61.3
explore
Total apps: 3,030 • Major competitors: 711
Latest rank: 185 • Difficulty: 60.6
across
Total apps: 2,646 • Major competitors: 672
Latest rank: — • Difficulty: 62.6
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| explore | 58 | 100 | 61 | 79 3,030 competing apps Median installs: 275,988 Avg rating: 4.6 | 185 | 166 | 711 major competitor apps |
| art | 58 | 100 | 47 | 69 1,082 competing apps Median installs: 239,212 Avg rating: 4.6 | — | — | 202 major competitor apps |
| file | 58 | 100 | 49 | 60 459 competing apps Median installs: 234,025 Avg rating: 4.6 | — | — | 86 major competitor apps |
| spreadsheet | 20 | 100 | 38 | 32 24 competing apps Median installs: 191,538 Avg rating: 4.7 | — | — | 8 major competitor apps |
| program | 58 | 100 | 51 | 62 534 competing apps Median installs: 269,325 Avg rating: 4.7 | — | — | 126 major competitor apps |
| basic | 58 | 100 | 42 | 62 541 competing apps Median installs: 219,850 Avg rating: 4.6 | — | — | 84 major competitor apps |
| including | 58 | 100 | 62 | 81 3,880 competing apps Median installs: 285,400 Avg rating: 4.6 | — | — | 926 major competitor apps |
| obtain | 57 | 100 | 46 | 52 189 competing apps Median installs: 228,775 Avg rating: 4.6 | — | — | 36 major competitor apps |
| various | 58 | 100 | 50 | 75 2,177 competing apps Median installs: 229,325 Avg rating: 4.6 | — | — | 374 major competitor apps |
| directly | 58 | 100 | 58 | 74 1,959 competing apps Median installs: 280,700 Avg rating: 4.6 | — | — | 424 major competitor apps |
| tables | 57 | 100 | 32 | 46 111 competing apps Median installs: 204,050 Avg rating: 4.6 | — | — | 16 major competitor apps |
| create | 59 | 100 | 61 | 85 5,537 competing apps Median installs: 251,325 Avg rating: 4.6 | — | — | 1,155 major competitor apps |
| open | 58 | 100 | 54 | 73 1,743 competing apps Median installs: 231,475 Avg rating: 4.6 | — | — | 328 major competitor apps |
| easily | 58 | 100 | 61 | 80 3,352 competing apps Median installs: 262,062 Avg rating: 4.6 | — | — | 764 major competitor apps |
| together | 58 | 100 | 53 | 69 1,115 competing apps Median installs: 261,625 Avg rating: 4.6 | — | — | 249 major competitor apps |
| type | 58 | 100 | 46 | 65 765 competing apps Median installs: 272,225 Avg rating: 4.6 | — | — | 166 major competitor apps |
| color | 58 | 100 | 50 | 72 1,554 competing apps Median installs: 252,475 Avg rating: 4.6 | — | — | 318 major competitor apps |
| 20 | 100 | 52 | 62 570 competing apps Median installs: 322,438 Avg rating: 4.6 | — | — | 149 major competitor apps | |
| following | 58 | 100 | 47 | 70 1,211 competing apps Median installs: 266,925 Avg rating: 4.6 | — | — | 263 major competitor apps |
| generate | 58 | 100 | 44 | 61 523 competing apps Median installs: 229,975 Avg rating: 4.6 | — | — | 91 major competitor apps |
| across | 20 | 100 | 63 | 77 2,646 competing apps Median installs: 290,838 Avg rating: 4.6 | — | — | 672 major competitor apps |
| enter | 58 | 100 | 51 | 67 943 competing apps Median installs: 278,125 Avg rating: 4.6 | — | — | 220 major competitor apps |
| includes | 58 | 100 | 49 | 70 1,252 competing apps Median installs: 237,900 Avg rating: 4.6 | — | — | 246 major competitor apps |
| numbers | 58 | 100 | 45 | 63 591 competing apps Median installs: 266,225 Avg rating: 4.6 | — | — | 124 major competitor apps |
| statistical | 56 | 100 | 19 | 30 21 competing apps Median installs: 154,050 Avg rating: 4.7 | — | — | 1 major competitor apps |
App Description
The following methods are implemented:
- Analyzing One Categorical Variable
- Comparing Groups on a Categorical Variable
- Analyzing the Relationship Between Two Categorical Variables
- Analyzing One Quantitative Variable
- Comparing Groups on a Quantitative Variable
- Analyzing the Relationship Between Two Quantitative Variables (Linear Regression)
The app provides:
- Frequency tables and bar and pie charts for exploring one categorical variable.
- Contingency tables, conditional proportions and side-by-side or stacked bar charts for exploring a categorical variable across several groups or the association between two categorical variables.
- Mean, standard deviation and the 5-number summary together with histograms, boxplots and dotplots to explore a quantitative variable.
- Side-by-side boxplots, stacked histograms or density plots for comparing a quantitative variable across several groups.
- Interactive scatterplots with regression lines to analyze the relationship between two quantitative variables. Correlation statistics and linear regression parameters and predictions. Plots of raw and studentized residuals.
The app comes with several example datasets preloaded, which you can directly open in the app to explore the app's various features. You can also type in your own data or upload your own CSV file (which any spreadsheet program can create) and select variables from it. Finally the app includes a basic spreadsheet program called Data Editor to create and edit data.
You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.
AppGoblin