Data Explorer vs Meta

Explore and analyze your datasets. Find patterns within and between variables. Use industry standard statistical techniques without being a stats expert. Get plain english explanations. Data Explorer makes the world of data analysis accessible to the rest of us. Features include:: • Import data files (csv, txt, xls, xlsx) • Enter / edit data by hand • Browse your data set. Apply filters to zero in on the rows that interest you. • Get key stats on each variable and see a graph of its distribution • Variables can be numerical, categorical, or date / time. • Hypothesis tests of means and proportions. One, two, and paired samples. • Two way frequency tables of what values categorical variables take, including phi and Cramer's V statistics • See the distribution of a numerical variables broken down by levels of a categorical variable, including one-way ANOVA, box plot, and density plot • See how two numerical variables vary with each other (correlation) • Explain how one numerical variable varies by a combination of other numerical variables (linear and logistic regression) • Variable transformations. Calculate squares, logs, and other commonly used transformation for use in your regressions and correlations All analysis include: • Results are given in statistical terms and also in plain english • Put as many filters as you want on each analysis to focus in on the part of your data you're interested in Accepts data input in the following formats: • enter data by hand while in the field • import comma separated files (.csv) • import tab delimited text files (.txt) • import excel files (xls and xlsx) • Current version limited to 100,000 rows and 500 columns to be conservative about performance. Export options: • Email PDFs and CSVs of variable summaries and analysis results • Print variable summaries and analysis results • Email CSV of datasets you've entered or edited We are actively developing this app and have additional features lined up. Your feedback can influence the priority we put on different features so please let us know what matters to you!

===Definition data===: A class of data is described by defining multiple properties. The property type of data class supports integer, text, floating point number and date. One property of the data class corresponds to one column of multi row and multi column data. One object of the data class corresponds to one row of multi row and multi column data. ===Edit Data===: You can add and edit objects, import and export objects in CSV format. Objects can be imported from CSV files exported from Number or Excel apps. Or objects can be exported to CSV files to be imported into Number or Excel apps. Import: Copy text or files in CSV format and paste them into the application. Export: Copy the text in CSV format from the application and save it as a CSV file. You can add notes to a single object (text and pictures are supported). ===Exploring data===: You can filter, group, sort, and display the objects of the data class according to any five properties of the data class. Three different filtering and display settings are supported. Support the second quick search on the filtered objects. Filtering supports multiple conditions (text contain, contained in some text, greater than, less than, equal-to, and not-equal). Sorting supports ascending or descending order. Display supports list display and chart display. One grouping property and the other four properties you selected optionally will be displayed in the list. You can set the aggregation type for each property of the other four properties. Filter conditions, display color and precision can be set for each of the five properties. The list group header displays the value of the group property and the aggregation information (count, sum, median, average etc.) of the group. Each row of the list displays four properties of the object according to four importance levels. Precision settings are used for grouping, filtering, and displaying. Chart display, grouped by grouping property, with the first two of the other four attributes you select as the X axis and Y axis, displays line chart, bar chart, point chart and area chart. A sector chart is grouped by the group-by property, displaying the number of groups or the aggregated value of another property. It means that any two properties can be used as the X axis and Y axis to draw a chart. You can set two ruler lines for the X axis or Y axis. === Subscription ===: 30 objects can be created and displayed for free.  You can create 99 or 999 objects by subscribing.  After unsubscribing, you can still edit and explore the created objects. === EULA ===: [standard Apple Terms of Use (EULA)](https://www.apple.com/legal/internet-services/itunes/dev/stdeula/)