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Simple linear regression Analysis
- Line chart with linear regression line - Plots a simple linear regression line on a line chart.
- Scatter plot with linear regression line - Plots a simple linear regression line on a scatter plot.
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Multiple linear regression Analysis
- Multiple regression analysis - Performs multiple regression analysis and fits linear models.
- Line chart with multiple regression line - Plots a multiple linear regression line on a line chart.
- Plot regression coefficients - Plots the coefficients from a regression model.
- Correlation matrix heatmap - Displays correlation matrix heatmap.
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Statistical hypothesis testing
- F-Test - Performs an F-Test to compare the variances of two samples.
- T-Test - Two sample T-Test - Performs test to examine if two independent samples' means are equal assuming that their variance are equal.
- T-Test - Welch two sample T-Test - Performs test to examine if two independent samples' means are equal assuming that their variance are not equal.
- T-Test - Paired T-Test - Performs test to examine if two paired samples' means are equal.
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Variance Analysis
- Anova - Single factor - Computes analysis of variance to determine whether the means of datasets are different.
- Tukey - Single factor - Compares the means of all datasets to the mean of every other dataset.
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Principal Component Analysis(PCA)
- Principal Component Analysis(PCA) - Performs a principal components analysis.
- PCA - Variance plot - Plots the variance of principal components analysis result to find the importance of each principal component.
- PCA - Biplot - Plots the scores of observations and PCs' coefficients of variables on a scatter plot.
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Time series Analysis
- Autocorrelation - Plots a time series along with its acf (autocorrelation function of a time series) and its pacf (partial autocorrelation function of a time series).
- Ljung-Box Test - Computes the Ljung-Box test statistic to examine the independence in a given time series.
- Decomposing time series - Decomposes a time series into seasonal, trend and random components.
- Augmented Dickey-Fuller Test - Performs test if a unit root is present in a time series dataset.
- Holt-Winters - Computes Holt-Winters Filtering of a given time series.
- ARIMA forecast - Displays time series forecasts with ARIMA modeling on a line chart.
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Clustering
- k-means clustering - Performs k-means clustering and plots scatter chart colored by clusters.
- k-means clustering (3D) - Performs k-means clustering and plots 3D scatter chart colored by clusters. (* This is not available on Qlik Sense Desktop application.)
- k-means - Cluster means/centers - Performs k-means clustering and display a bar chart of cluster means/centers.
- Find optimal number of clusters - Calculate the optimal number of clusters. Currently, gap statistic method is available.
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Classification
- Decision tree - Plot classification/regression tree.
- Decision tree - Evaluate model - Display the result of model evaluation on decision tree.
- Logistic regression analysis - Performs logistic analysis.
- Logistic regression - Evaluate model - Display the result of model evaluation on logistic regression analysis.
- Logistic regression - Plot coefficients - Plots the coefficients from a regression model.
- Correlation matrix heatmap - Displays correlation matrix heatmap.
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Text mining
- Text mining / Wordcloud - Creates a corpus from the text data stored in a column, performs data processing and makes the wordcloud using the data.