what are the tools used for data analysis?
20487
['R Programming. R is the leading analytics tool in the industry and widely used for statistics and data modeling. ... ', 'Tableau Public: ... ', 'SAS: ... ', 'Apache Spark. ... ', 'Excel. ... ', 'RapidMiner:', 'KNIME. ... ', 'QlikView.']
541347
Data analysis is the most crucial part of any research. Data analysis summarizes collected data. It involves the interpretation of data gathered through the use of analytical and logical reasoning to determine patterns, relationships or trends.
153184
['Descriptive Analysis. Descriptive analysis provides information on the basic qualities of data and includes descriptive statistics such as range, minimum, maximum, and frequency. ... ', 'Measures of Central Tendency. ... ', 'Standard Deviation. ... ', 'Inferential Analysis. ... ', 'Normal Distribution. ... ', 'Non-Normal Distribution.']
132209
In conclusion, Python seems to be the most widely used programming language for data scientists today. This language allows the integration of SQL, TensorFlow, and many other useful functions and libraries for data science and machine learning.
770524
Statistical analysis software, such as SPSS, is often used to analyze quantitative data. Qualitative data describes qualities or characteristics. It is collected using questionnaires, interviews, or observation, and frequently appears in narrative form.
1280256
['Spreadsheets. Spreadsheets are hands-down the best-known data tool. ... ', 'SQL. ... ', 'Statistical Software. ... ', 'Visualization and Dashboarding. ... ', 'Analytics Tools. ... ', 'Business Intelligence.']
643695
['Line Graphs.', 'Bar Graphs.', 'Histograms.', 'Line Plots.', 'Frequency Table.', 'Circle Graph, etc.']
863908
['Column Chart. This is one of the most common types of data visualization tools. ... ', 'Bar Graph. ... ', 'Stacked Bar Graph. ... ', 'Line Graph. ... ', 'Dual-Axis Chart. ... ', 'Mekko Chart. ... ', 'Pie Chart. ... ', 'Scatter Plot.']
504673
Some of the tools that can be used for qualitative risk analysis include: Probability And Impact Matrix. The matrix helps in identifying those risks which require an immediate response. The matrix may be customized according to the needs of the project.
434202
['SQL. SQL, or Structured Query Language, is the ubiquitous industry-standard database language and is possibly the most important skill for data analysts to know. ... ', 'Microsoft Excel. ... ', 'Critical Thinking. ... ', 'R or Python–Statistical Programming. ... ', 'Data Visualization. ... ', 'Presentation Skills. ... ', 'Machine Learning.']
12723
['Data collection/analysis. ... ', 'Surveys. ... ', 'Interviews and focus groups. ... ', 'Website Traffic data. ... ', 'Case studies.']
143421
Overview. SPSS is a widely used program for statistical analysis in social science. ... In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary is stored in the datafile) are features of the base software.
208137
['Content analysis: This is one of the most common methods to analyze qualitative data. ... ', 'Narrative analysis: This method is used to analyze content from various sources, such as interviews of respondents, observations from the field, or surveys.']
1011695
['Linear Regression.', 'Logistic Regression.', 'Decision Tree.', 'SVM.', 'Naive Bayes.', 'kNN.', 'K-Means.', 'Random Forest.']
152185
Data Analysis Tools, Charts, and Diagrams Use the following tools to collect or analyze data: Box and whisker plot: A tool used to display and analyze multiple sets of variation data on a single graph. ... Survey: Data collected from targeted groups of people about their opinions, behavior or knowledge.
1374148
The most commonly used data analysis methods are: Content analysis: This is one of the most common methods to analyze qualitative data. ... Narrative analysis: This method is used to analyze content from various sources, such as interviews of respondents, observations from the field, or surveys.
1413295
['Linear Regression.', 'Logistic Regression.', 'Jackknife Regression *', 'Density Estimation.', 'Confidence Interval.', 'Test of Hypotheses.', 'Pattern Recognition.', 'Clustering - (aka Unsupervised Learning)']