# Google Sheets - Automated Dashboards (Data Analytics) > Dynamic charts, sparklines, interactive dashboards, automation with Apps Script - 20 interview questions - Mid-Level - [Interview Questions: Data Analytics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions.md) ## 1. Which chart type is most suitable for displaying monthly revenue evolution over a year in a Google Sheets dashboard? **Answer** A line chart is the optimal choice for visualizing continuous time-series evolution. It highlights trends, peaks, and troughs over a given period. Bar charts are better suited for categorical comparisons, pie charts for proportions of a whole, and scatter plots for correlations between two variables. ## 2. Which function allows inserting a mini-chart directly into a Google Sheets cell? **Answer** The SPARKLINE function creates a miniature chart inside a single cell. It is ideal for dashboards because it provides a compact visualization without taking up additional space. SPARKLINE supports several types: line, bar, column, and winloss. ## 3. What syntax should be used to create a horizontal bar sparkline in Google Sheets? **Answer** The correct syntax is SPARKLINE(data, {"charttype","bar"}) to get a stacked horizontal bar. The charttype parameter accepts the values line (default), bar, column, and winloss. The bar type displays a proportional horizontal bar, useful for showing progress or market share in a dashboard. ## 17 more questions available - What is the main advantage of using named ranges in a Google Sheets dashboard? - Which approach allows creating a dynamic range that automatically adjusts when new data is added? Sign up for free: https://sharpskill.dev/en/login ## Other Data Analytics interview topics - [Google Sheets - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/google-sheets-basics.md): 20 questions, Junior - [Google Sheets - Advanced Formulas](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/google-sheets-advanced.md): 20 questions, Junior - [SQL - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-basics.md): 25 questions, Junior - [SQL - Aggregations and Grouping](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-aggregations.md): 20 questions, Junior - [SQL - Joins](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-joins.md): 20 questions, Junior - [BigQuery - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/bigquery-fundamentals.md): 20 questions, Junior - [Data Cleaning](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/data-cleaning.md): 20 questions, Junior - [KPIs and Business Metrics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/kpis-metrics.md): 20 questions, Junior - [Descriptive Statistics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/descriptive-statistics.md): 20 questions, Junior - [Zapier and No-Code Automation](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/zapier-automation.md): 20 questions, Junior - [Data Visualization Principles](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/data-viz-principles.md): 20 questions, Junior - [Python & Pandas - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/python-pandas-basics.md): 20 questions, Junior - [SQL - Subqueries and CTEs](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-subqueries-ctes.md): 20 questions, Mid-Level - [SQL - Window Functions](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-window-functions.md): 20 questions, Mid-Level - [BigQuery - Advanced Features](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/bigquery-advanced.md): 20 questions, Mid-Level - [Data Modeling](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/data-modeling.md): 20 questions, Mid-Level - [Funnel and Conversion Analysis](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/funnel-analysis.md): 20 questions, Mid-Level - [Cohort and Retention Analysis](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/cohort-retention.md): 20 questions, Mid-Level - [Google Tag Manager and Tracking](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/gtm-tracking.md): 20 questions, Mid-Level - [APIs and Webhooks](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/apis-webhooks.md): 20 questions, Mid-Level - [dbt - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/dbt-fundamentals.md): 20 questions, Mid-Level - [AB Testing and Applied Statistics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/ab-testing.md): 20 questions, Mid-Level - [Looker Studio (Google Data Studio)](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/looker-studio.md): 20 questions, Mid-Level - [Power BI - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/power-bi-fundamentals.md): 20 questions, Mid-Level - [SQL - Advanced Analytical Queries](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-advanced-analytics.md): 20 questions, Senior - [dbt - Advanced Features](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/dbt-advanced.md): 20 questions, Senior - [Power BI - DAX and Advanced Dashboards](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/power-bi-dax.md): 20 questions, Senior - [Python Analytics - Advanced Analysis and ML](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/python-analytics-advanced.md): 20 questions, Senior --- Source: SharpSkill (https://sharpskill.dev), tech interview preparation for your real stack. HTML version of this page: https://sharpskill.dev/en/technologies/data-analytics/interview-questions/google-sheets-dashboards