Building a React Admin Panel with Refine and daisyUI

Introduction​

In this post, we go through the process of developing a React admin panel using Refine and daisyUI.

Refineis a React-based framework that helps quickly build data-heavy applications like dashboards, admin panels and storefronts. It comes with a headless core package that integrates with any UI framework and design system.

daisyUI is a component templates library built on top of TailwindCSS. It provides us with short semantic classes composed from TailwindCSS utilities and a growing collection of convenient component templates that helps quickly build React components for our app.

daisyUI can easily be integrated with Refine, and in this post we are going to see how to do that while building a dashboard and admin panel app using Refine's Fine Foods API.

Overview​

The React admin panel we are going to build uses the Refine hosted Fine Foods API to display a dashboard of KPI data, and CRUD pages for products and categories resources. The dashboard will present various data in cards, charts and a table. And the products and categories resources will have list, create, show and edit pages.

We start this post with a brief discussion on Refine architecture - particularly how it works under the hood with React contexts backed by providers, hooks and components. We also talk about daisyUI, the short, semantic classes such as btn, menu, tab, etc., and their variants it provides and how they facilitate rapid building of React components using a growing library of prestyled daisyUI templates.

We then initialize a Refine app, and integrate and configure daisyUI. Afterwards, we move on to building the features of the admin panel.

We first build the dashboard page where we present stats for relevant KPIs in cards, charts and a table. We use the React-based Recharts library for plotting our data.

In the later half of the post, we add CRUD pages for products and categories resources. We define the resources prop on <Refine /> component, resource action paths, and their route definitions. CRUD actions covered for both resources are list, create, show, update and delete. We then make use of Refine hooks such as useTable() and useForm() for entering, fetching and presenting data from the API. We build the UI with predefined daisyUI templates for buttons, menus, tabs, stats, etc.

Towards the end, we see how to customize the layout of a Refine app. We replace the default leftside navigation to adopt a top navbar by leveraging useMenu(), useNavigation() and useBreadcrumb() hooks.

What is Refine?​

Refine is a powerful React framework for building Enterprise web applications. It is particularly focused on creating data-heavy apps like dashboards, admin panels and internal tools. It comes with a core headless package that provides different sets of hooks and components for dealing with concerns like data fetching, authentication, authorization, etc. It also has supplmentary packages which enable rapid development of React applications by integrating with various backend services like Airtable, Supabase and Strapi as well as UI frameworks like Ant Design, Material UI, Chakra UI and Mantine.

Architecture​

Refine separates app concerns such as data fetching, authentication, access control, etc., into layers of React contexts each backed by a provider object, a set of corresponding hooks as well as relevant components. For example, the data layer represents a context dependent on a dataProvider object with a set of methods for handling CRUD actions. The data layer is accessed with a set of data hooks that help invoke the CRUD methods from UI components.

This means, we would have all CRUD related methods such as getList(), create(), show(), update() and delete() inside a dataProvider object and we are able to access them from a UI component using useList(), useCreate(), etc., data hooks. The data hooks, in turn, make use of React Query for data fetching, caching state management and error handling.

The Refine data hooks mentioned above are basically core hooks. Higher level hooks which are built top of these hooks exist, such as the useTable() hook provided by @refinedev/react-table support package that integrates React Table with Refine core. Higher level hooks adds additional features that increase development efficiency. For example, the useList() hook is employed by the useTable() hook that helps present data in a table using all the features of React Table. Similarly, the useCreate() core data hook is utilized inside the useForm() high level hook provided by the @refinedev/react-hook-form package which augments form related CRUD actions with React Hook Form.

Resource Definitions​

Refine's resource definitions are specified inside the resources object. The resources object is passed to the resources prop of the <Refine /> component. Resource definitions, in combination with route definitions, set up a Refine app's nav menu items, their navigation URLs, as well as breadcrumbs, and help infer the default resource name of a CRUD page along a route.

Routing​

Routing in Refine is supported by the react-router-dom package. Refinev4 supports explicit routing by delegating everything related to routing to the React Router APIs.

Inferencer​

Refine's Inferencer is a powerful tool for quickly scaffolding CRUD pages and automatically generating code for a resource page. The Inferencer works by first polling a particular API endpoint to get the shape of the data and then placing all the hooks and UI elements necessary to fetch and present the data on a page.

UI Framework Integration​

Refine's core package is designed to be "headless" which gives the freedom to integrate it with any UI component library or framework.

What is daisyUI?​

daisyUI is an open source UI library built on top of TailwindCSS. It provides short, component-oriented, semantic classes composed from regular, longer Tailwind class strings that typically contribute to clumsy markup in an application. daisyUI hosts a growing collection of pre-styled templates for components like buttons, menus, and tabs with responsive, size, shape, and color variants.

Composing responsive, color, size, and shape variant classes manually with the @apply directive is practically inefficient with plain TailwindCSS classes. daisyUI does this out-of-the-box. On top of that, these component styles can be overridden or extended with the usual TailwindCSS utilities. As a result, daisyUI offers the convenience of using smaller class names, a smaller CSS file size, configurable number of variants, and greater customization without compromising much of the code quality.

Feel free to check out the daisyUI documentation to learn more.

Initialize a Refine App​

For this app, we are going to start with Refine's headless core, using create refine-app to scaffold our pages and generate the initial page code. We will then make necessary logic and UI adjustments and then apply daisyUI classes to our components.

So, let's get started with initializing the Refine app first.

We'll create a local repository by using the create refine-app CLI-based app scaffolder. Run the following npm command from the directory of your choice to interactively initialize the project.

npm create refine-app@latest refine-daisyui

Select the following options when prompted:

✔ Choose a project template · refine-react
✔ What would you like to name your project?: · refine-daisyui
✔ Choose your backend service to connect: · REST API
✔ Do you want to use a UI Framework?: · Headless
✔ Do you want to add example pages?: · no
✔ Do you need i18n (Internationalization) support?: · No
✔ Choose a package manager: · npm
✔ Would you mind sending us your choices so that we can improve create refine-app? · yes

Take a note of the Headless choice. We are asking for Refine core package with plain JSX markup.

After completing the app initialization, let's navigate to the project folder and start our app with:

npm run dev

We should be greeted with the app's Welcome page.

Chores​

We'll replace the Fake REST API with Fine Foods URL in the dataProvider prop. Update the App.tsx file to the following:

import { ErrorComponent, GitHubBanner, Refine } from "@refinedev/core";
import { RefineKbar, RefineKbarProvider } from "@refinedev/kbar";

import routerBindings, {
  DocumentTitleHandler,
  NavigateToResource,
  UnsavedChangesNotifier,
} from "@refinedev/react-router";
import dataProvider from "@refinedev/simple-rest";
import { BrowserRouter, Outlet, Route, Routes } from "react-router-dom";
import "./App.css";
import { Layout } from "./components/layout";

function App() {
  return (
    <BrowserRouter>
      <GitHubBanner />
      <RefineKbarProvider>
        <Refine
          dataProvider={dataProvider("https://api.finefoods.refine.dev")}
          routerProvider={routerBindings}
          options={{
            syncWithLocation: true,
            warnWhenUnsavedChanges: true,
          }}
        >
          <Routes>
            <Route
              element={
                <Layout>
                  <Outlet />
                </Layout>
              }
            >
              <Route path="*" element={<ErrorComponent />} />
            </Route>
          </Routes>

          <RefineKbar />
          <UnsavedChangesNotifier />
          <DocumentTitleHandler />
        </Refine>
      </RefineKbarProvider>
    </BrowserRouter>
  );
}

export default App;

With these changes, we'll start fresh towards building the dashboard page first and then later move on to the CRUD pages for products and categories resources. At this point, we don't have any resources or their pages.

Notice, we are now using the Fine Foods REST API in the dataProvider prop of <Refine />.

The Fine Foods API is an example of the REST API hosted by Refine with a collection of end points. In this app, we will be querying the /dailyRevenue, /dailyOrders, /newCustomers and /orders endpoints for fetching data for our dashboard page. Later on, we'll also be accessing its /products and /categories endpoints for our resource pages.

daisyUI Installation​

We are using daisyUI as our UI library. In order to integrate daisyUI into our Refine app, we have to first perform a Vite installation of TailwindCSS, its dependencies, and set up their configurations.

Go ahead an follow the below steps to first add TailwindCSS, PostCSS and Autoprefixer packages and then initialize tailwind.config.js:

Install TailwindCSS and related packages

1. Run the following commands:

npm install -D tailwindcss postcss autoprefixer
npx tailwindcss init -p

2. Inside tailwind.config.js file, add file paths for scanning and applying TailwindCSS classes:

/** @type {import('tailwindcss').Config} */
export default {
  content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"],
  theme: {
    extend: {},
  },
  plugins: [],
};

3. Modify the App.css to add TailwindCSS directives. It is important that we add them towards the top before any Tailwind style declarations. Copy over the CSS below:

* {
  margin: 0;
  padding: 0;
  box-sizing: border-box;
}

body {
  margin: 0px;
}

/* TailwindCSS layers towards the top */
@tailwind base;
@tailwind components;
@tailwind utilities;

.layout {
  display: flex;
  gap: 16px;
}

@media screen and (max-width: 751px) {
  .layout {
    display: block;
  }
}

.layout .content {
  display: flex;
  flex-direction: column;
  flex-grow: 1;
}

.breadcrumb {
  display: flex;
  gap: 24px;
  list-style-type: "/  ";
  padding: 8px 16px;
  border-bottom: 1px solid lightgray;
}

.breadcrumb a {
  color: blue;
  text-decoration: none;
}

.menu {
  flex-shrink: 0;
  padding: 8px 16px;
  border-right: 1px solid lightgray;
}

.menu a {
  color: black;
}

.menu .active {
  font-weight: bold;
}

@media screen and (max-width: 751px) {
  .menu {
    border-right: none;
    border-bottom: 1px solid lightgray;
  }
}

.menu ul {
  padding-left: 16px;
}

.page-container {
  @apply mx-auto my-2 rounded border bg-slate-50 px-4 py-2 drop-shadow-md;
}

.page-title {
  @apply text-xl font-bold;
}

.page-header {
  @apply mb-6 flex items-center justify-between py-4;
}

We'll be using the custom classes in this App.css, so feel free to copy it over.

If you need a hand with TailwindCSS installation, please follow this guide for installing TailwindCSS with Vite

Install and setup daisyUI

With TailwindCSS set up properly, it's now turn to install and configure daisyUI.

1. Install daisyUI with the following command:

npm install -D daisyui@latest

2. And then add daisyUI as a plugin to tailwind.config.js. Extend the daisyUI light theme and update the primary color:

/** @type {import('tailwindcss').Config} */
export default {
  content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"],
  daisyui: {
    themes: [
      {
        light: {
          ...require("daisyui/src/theming/themes")["[data-theme=light]"],
          primary: "#0d89ec",
        },
      },
    ],
  },
  theme: {
    extend: {},
  },
  plugins: [require("daisyui")],
};

More details on customizing a daisyUI theme is available on the docs here

After these changes, with the server running, TailwindCSS watches for the use of daisyUI and TailwindCSS classes, and automatically compiles updated styles.

Other Packages​

We have to install Refine's support packages for React Table and React Hook Form. We are using Tailwind Heroicons for our icons, the Day.js library for time calculations and Recharts library to plot our charts for KPI data. So, run the following and we are good to go:

npm install @refinedev/react-table @refinedev/react-hook-form @heroicons/react dayjs recharts

Interfaces​

We'll be using the following interfaces throughout the app. So, feel free to copy and paste them over to src/interfaces/index.ts or a similar location.

export interface IOrder {
  id: number;
  user: IUser;
  createdAt: string;
  status: IOrderStatus;
  address: IAddress;
  amount: number;
}

export interface IUser {
  id: number;
  fullName: string;
  gender: string;
  gsm: string;
  createdAt: string;
  addresses: IAddress[];
}

export interface IOrderStatus {
  id: number;
  text: "Pending" | "Ready" | "On The Way" | "Delivered" | "Cancelled";
}

export interface IAddress {
  text: string;
  coordinate: [string, string];
}

export interface IChartDatum {
  date: string;
  value: string;
}

export interface IChart {
  data: IChartDatum[];
  total: number;
  trend: number;
}

export interface IProduct {
  id: number;
  name: string;
  isActive: boolean;
  description: string;
  createdAt: string;
  price: number;
  category: ICategory;
  stock: number;
}

export interface ICategory {
  id: number;
  title: string;
  isActive: boolean;
}

export type TTab = {
  id: number;
  label: string;
  content: JSX.Element;
};

Building the Dashboard​

Now that we have all the set up and packages ready, it's time for us to start building the dashboard page. The dashboard page will be displayed at the index route and contain KPI stats, charts and a table of data.

The <Dashboard /> Component​

We'll add a /dashboard directory under src/pages and add the <Dashboard /> component to the index.tsx file under it.

Initially, it will return a dummy hero component. We'll update it in the coming sections.

import React from "react";

export const Dashboard: React.FC = () => {
  return (
    <div className="hero bg-base-200 min-h-screen">
      <div className="hero-content text-center">
        <div className="max-w-md">
          <h1 className="text-5xl font-bold">Hello there...</h1>
          <p className="py-6">
            You're here. A deva just as dashing and daisyuing - as yourself
            refined
          </p>
          <button className="btn btn-primary">Buckle Up</button>
        </div>
      </div>
    </div>
  );
};

We'll display the dashboard page at the /dashboard path and make it the index route. So, let's add the necessary resource and routes to the <Refine /> component in App.tsx.

Update the App.tsx as below:

import { ErrorComponent, GitHubBanner, Refine } from "@refinedev/core";
import { RefineKbar, RefineKbarProvider } from "@refinedev/kbar";

import routerBindings, {
  DocumentTitleHandler,
  NavigateToResource,
  UnsavedChangesNotifier,
} from "@refinedev/react-router";
import dataProvider from "@refinedev/simple-rest";
import {
  BrowserRouter,
  Navigate,
  Outlet,
  Route,
  Routes,
} from "react-router-dom";
import "./App.css";
import { Layout } from "./components/layout";
import { Dashboard } from "./pages/dashboard";

function App() {
  return (
    <BrowserRouter>
      <GitHubBanner />
      <RefineKbarProvider>
        <Refine
          dataProvider={dataProvider("https://api.finefoods.refine.dev")}
          routerProvider={routerBindings}
          resources={[
            {
              name: "dashboard",
              list: "/dashboard",
            },
          ]}
          options={{
            syncWithLocation: true,
            warnWhenUnsavedChanges: true,
          }}
        >
          <Routes>
            <Route
              element={
                <Layout>
                  <Outlet />
                </Layout>
              }
            >
              <Route index element={<Navigate to="/dashboard" />} />
              <Route path="/dashboard">
                <Route index element={<Dashboard />} />
              </Route>
              <Route path="*" element={<ErrorComponent />} />
            </Route>
          </Routes>

          <RefineKbar />
          <UnsavedChangesNotifier />
          <DocumentTitleHandler />
        </Refine>
      </RefineKbarProvider>
    </BrowserRouter>
  );
}

export default App;

We have updated our imports and passed the resources prop to <Refine />. We have defined a dashboard resource with only one page: the list. In the route definitions, as children to <Routes />, we have assigned the <Dashboard /> page to the /dashboard route and set it as the index route.

With these additions and changes, when we navigate to / or /dashboard, we should be able to see the dashboard page. It looks somewhat dashing like this:

The <Stats /> Component​

Let's now focus on implementing the features of the dashboard. Inside it, we'll have a <Stats /> component that takes in KPI data and returns a <KpiCard /> component for each. We'll create the <Stats /> component inside src/components/dashboard. And use the following code:

import React from "react";
import { KpiCard } from "./KpiCard";
import { IChartDatum } from "../../interfaces";
import {
  CurrencyDollarIcon,
  ShoppingCartIcon,
  UserGroupIcon,
} from "@heroicons/react/24/outline";
import { GetListResponse } from "@refinedev/core";

type TStats = {
  dailyRevenue?: GetListResponse<IChartDatum>;
  dailyOrders?: GetListResponse<IChartDatum>;
  newCustomers?: GetListResponse<IChartDatum>;
};

const Stats = ({ dailyRevenue, dailyOrders, newCustomers }: TStats) => {
  return (
    <div className="mx-auto mb-4 flex w-full flex-col items-stretch justify-center drop-shadow-md md:flex-row md:justify-between">
      <div className="mx-auto w-full md:mr-2 md:flex-1">
        <KpiCard
          title="Weekly Revenue"
          data={dailyRevenue}
          formatTotal={(value: number | string) => `$ ${value}`}
          icon={<CurrencyDollarIcon className="h-32 w-32" />}
          colors={{
            stroke: "rgb(54, 162, 235)",
            fill: "rgba(54, 162, 235, 0.2)",
          }}
        />
      </div>
      <div className="mx-auto w-full md:flex-1">
        <KpiCard
          title="Weekly Orders"
          data={dailyOrders}
          icon={<ShoppingCartIcon className="h-32 w-32" />}
          colors={{
            stroke: "rgb(255, 159, 64)",
            fill: "rgba(255, 159, 64, 0.2)",
          }}
        />
      </div>
      <div className="mx-auto w-full md:ml-2 md:flex-1">
        <KpiCard
          title="New Customers"
          data={newCustomers}
          icon={<UserGroupIcon className="h-32 w-32" />}
          colors={{
            stroke: "rgb(76, 175, 80)",
            fill: "rgba(76, 175, 80, 0.2)",
          }}
        />
      </div>
    </div>
  );
};

export default Stats;

The <Stats /> relays and displays KPI data inside the <KpiCard /> component, so let's work on that now.

<KpiCard /> Component​

Let's create the <KpiCard /> component inside src/components/dashboard directory. The <KpiCard /> represents an individual stat item. It takes in a number of props and displays the KPI data with an icon. It looks like this:

import React from "react";

type TKpiCardProps = {
  title: string;
  data: any;
  icon: JSX.Element;
  colors: {
    stroke: string;
    fill: string;
  };
  formatTotal?: (value: number | string) => typeof value;
};

export const KpiCard = ({
  title,
  data,
  icon,
  colors,
  formatTotal = (value) => value,
}: TKpiCardProps) => {
  const total = data?.data?.total;
  const trend = data?.data?.trend;
  const calc = Math.round((trend / total) * 100);
  const percent = total > trend ? `+ ${calc}%` : `- ${calc}%`;
  const textColor = total > trend ? "seagreen" : "crimson";

  return (
    <div
      className="stat my-2 flex-1 rounded border-l-4 bg-zinc-50 py-4"
      style={{ borderColor: colors?.stroke }}
    >
      <div
        className="stat-figure text-secondary"
        style={{ color: colors?.fill }}
      >
        {icon}
      </div>
      <div className="stat-title text-l">{title}</div>
      <div className="stat-value" style={{ color: colors?.stroke }}>
        {formatTotal(total ?? "...")}
      </div>
      <div className="stat-desc my-2">
        <span className="text-l mx-1 font-bold" style={{ color: textColor }}>
          {percent}
        </span>
        since last week
      </div>
    </div>
  );
};

Note that we have started using daisyUI classes in the <KpiCard /> component. stat, stat-figure, stat-title, stat-value, stat-desc are classes provided by the daisyUI Stats template.

With the <Stats /> and <KpiCard /> components completed, we are ready to update the <Dashboard /> component. Inside it, we will query a number of Fine Foods end points to gather revenue, orders and customers data and then transform them. We will pass the transformed data to child components, one by one as they get built.

For now, we'll import and display the <Stats /> component and pass it three sets of KPI data in order to display the KPI cards at the top of the dashboard page.

Replace the code inside the <Dashboard /> component with the following:

import React, { useMemo } from "react";
import { CrudFilter, useList } from "@refinedev/core";
import dayjs from "dayjs";

import Stats from "../../components/dashboard/Stats";
import { IChartDatum, TTab } from "../../interfaces";

const filters: CrudFilter[] = [
  {
    field: "start",
    operator: "eq",
    value: dayjs()?.subtract(7, "days")?.startOf("day"),
  },
  {
    field: "end",
    operator: "eq",
    value: dayjs().startOf("day"),
  },
];

export const Dashboard: React.FC = () => {
  const { data: dailyRevenue } = useList<IChartDatum>({
    resource: "dailyRevenue",
    filters,
  });

  const { data: dailyOrders } = useList<IChartDatum>({
    resource: "dailyOrders",
    filters,
  });

  const { data: newCustomers } = useList<IChartDatum>({
    resource: "newCustomers",
    filters,
  });

  return (
    <>
      <Stats
        dailyRevenue={dailyRevenue}
        dailyOrders={dailyOrders}
        newCustomers={newCustomers}
      />
    </>
  );
};

Notice we are fetching data from three Fine Foods API end points: /dailyRevenue, /dailyOrders and /newCustomers. We are fetching them with the useList() Refine core hook. We are querying them as resources although in our Refine admin panel app they are not. The filters object is used to get the past 7 days' data.

You can find more details in the Refine useList() docs here.

With these changes, our dashboard page has three KPI cards displayed at the top:

Tab Components​

Now we want to display three charts inside a tabs panel below the KPI cards. So, we'll create the <TabItem />, <TabPanel /> and <TabView /> components inside the src/components/dashboard directory. We'll also create two chart components, a <ResponsiveAreaChart /> and a <ResponsiveBarChart /> to plot KPI data. Once all components are ready, we'll add the <TabView /> component to <Dashboard />.

The <TabView /> component will house the other two tab components, so in order to avoid linter and browser errors, we'll start with the children.

<TabItem /> Component​

We need to have the <TabItem /> button for accessing a tab panel. So, create the <TabItem /> component as below:

import React from "react";

type TTabItem = {
  label: string;
  isActive: Boolean;
  clickHandler: () => void;
};

export const TabItem = ({ label, isActive, clickHandler }: TTabItem) => {
  return (
    <a
      className={`text-l tab font-bold tab-bordered${
        isActive ? " tab-active" : ""
      }`}
      onClick={clickHandler}
    >
      {label}
    </a>
  );
};

<TabPanel /> Component​

The <TabPanel /> will contain a chart which can be accessed by clicking on a <TabItem />. Let's go ahead and create the <TabPanel /> component with the following code:

import React from "react";

type TTabPanelProps = {
  isActive: Boolean;
  children: JSX.Element;
};

export const TabPanel = ({ isActive, children }: TTabPanelProps) => {
  return isActive ? <div className="mx-auto py-6">{children}</div> : null;
};

<TabView /> Component​

The <TabView /> component will contain the tab view logic and state. It will accept the tabs object and display a <TabItem /> and <TabPanel > as children for each item in the tabs object. Let's create the <TabView /> component with the code below:

import React, { useState } from "react";
import { TabItem } from "./TabItem";
import { TabPanel } from "./TabPanel";
import { TTab } from "../../interfaces";

type TTabViewProps = {
  tabs: TTab[];
};

export const TabView = ({ tabs }: TTabViewProps) => {
  const [activeTab, setActiveTab] = useState(0);
  return (
    <div className="mx-auto rounded-lg border bg-slate-50 py-4 drop-shadow-md">
      <div className="tabs">
        {tabs?.map((tab: TTab, index: number) => (
          <TabItem
            key={tab?.id}
            label={tab?.label}
            isActive={index === activeTab}
            clickHandler={() => setActiveTab(index)}
          />
        ))}
      </div>
      <div className="mx-auto">
        {tabs?.map((tab: TTab, index: number) => (
          <TabPanel key={tab?.id} isActive={index === activeTab}>
            {tab?.content}
          </TabPanel>
        ))}
      </div>
    </div>
  );
};

Recharts Plots​

With the tab components ready, we need to create three charts to be displayed inside <TabView /> by mapping through the tabs object. We want to implement them using Recharts. One <ResponsiveAreaChart /> and one <ResponsiveBarChart />.

For plotting the data, <ResponsiveAreaChart /> will use the <AreaChart /> APIs of the Recharts library and <ResponsiveBarChart /> will use the <BarChart /> APIs. They both will use <ResponsiveContainer /> for responsiveness.

You can find all the details in the Rechats <AreaChart />, <BarChart /> and <ResponsiveContainer /> documentations if you need to.

We'll build the charts inside the src/components/dashboard directory.

Area Chart​

Create the <ResponsiveAreaChart /> component with the code below:

import React from "react";
import {
  ResponsiveContainer,
  AreaChart,
  CartesianGrid,
  XAxis,
  YAxis,
  Tooltip,
  Area,
} from "recharts";
import { ChartTooltip } from "../../components/dashboard/ChartTooltip";
import { IChartDatum } from "../../interfaces";

type TResponsiveAreaChartProps = {
  kpi: string;
  data: IChartDatum[];
  colors: {
    stroke: string;
    fill: string;
  };
};

export const ResponsiveAreaChart = ({
  kpi,
  data,
  colors,
}: TResponsiveAreaChartProps) => {
  return (
    <ResponsiveContainer height={400}>
      <AreaChart
        data={data}
        height={400}
        margin={{
          top: 10,
          right: 30,
          left: 0,
          bottom: 0,
        }}
      >
        <CartesianGrid strokeDasharray="0 0 0" />
        <XAxis
          dataKey="date"
          tickCount={data?.length ?? 0}
          tick={{
            stroke: "light-grey",
            strokeWidth: 0.5,
            fontSize: "12px",
          }}
        />
        <YAxis
          tickCount={13}
          tick={{
            stroke: "light-grey",
            strokeWidth: 0.5,
            fontSize: "12px",
          }}
          interval="preserveStartEnd"
          domain={[0, "dataMax + 10"]}
        />
        <Tooltip
          content={<ChartTooltip kpi={kpi} colors={colors} />}
          wrapperStyle={{
            backgroundColor: "rgba(0, 0, 0, 0.7)",
            border: "0 solid #000",
            borderRadius: "10px",
          }}
        />
        <Area
          type="monotone"
          dataKey="value"
          stroke={colors?.stroke}
          strokeWidth={3}
          fill={colors?.fill}
          dot={{
            stroke: colors?.stroke,
            strokeWidth: 3,
          }}
        />
      </AreaChart>
    </ResponsiveContainer>
  );
};

Inside <ResponsiveAreaChart /> we are receiving the data along with other props and relaying it to <AreaChart /> with its data={data} prop. We are using <XAxis />, <YAxis /> for ticks and axes labels. We are drawing the area and monotonic line with <Area /> component and its props. <CartesianGrid /> draws a grid in the background. We also have a custom tooltip shown inside <ToolTip />.

Bar Chart​

In a similar way, create the <ResponsiveBarChart /> component with the below code:

import React from "react";
import {
  ResponsiveContainer,
  BarChart,
  CartesianGrid,
  XAxis,
  YAxis,
  Tooltip,
  Bar,
} from "recharts";
import { ChartTooltip } from "../../components/dashboard/ChartTooltip";
import { IChartDatum } from "../../interfaces";

type TResponsiveBarChartProps = {
  kpi: string;
  data: IChartDatum[];
  colors: {
    stroke: string;
    fill: string;
  };
};

export const ResponsiveBarChart = ({
  kpi,
  data,
  colors,
}: TResponsiveBarChartProps) => {
  return (
    <ResponsiveContainer height={400}>
      <BarChart
        data={data}
        width={1200}
        height={400}
        margin={{
          top: 10,
          right: 30,
          left: 0,
          bottom: 0,
        }}
      >
        <CartesianGrid strokeDasharray="0 0" />
        <XAxis
          dataKey="date"
          tickCount={data?.length ?? 0}
          tick={{
            stroke: "light-grey",
            strokeWidth: 0.5,
            fontSize: "12px",
          }}
        />
        <YAxis
          domain={[0, "dataMax"]}
          tickCount={13}
          tick={{
            stroke: "light-grey",
            strokeWidth: 0.5,
            fontSize: "12px",
          }}
        />
        <Tooltip
          content={<ChartTooltip colors={colors} kpi={kpi} />}
          wrapperStyle={{
            backgroundColor: "rgba(0, 0, 0, 0.7)",
            border: "0 solid #000",
            borderRadius: "10px",
          }}
        />
        <Bar
          type="monotone"
          dataKey="value"
          stroke="rgb(255, 207, 159)"
          strokeWidth={1}
          fill="rgba(255, 207, 159, 0.7)"
        />
      </BarChart>
    </ResponsiveContainer>
  );
};

<ResponsiveBarChart /> does the same thing as <ResponsiveAreaChart />, except that it draws a bar chart with Recharts <BarChart /> component.

Custom Tooltip​

The charts above use a custom tooltip, the <ChartTooltip /> component, to show data point details according to the mouse position.

Let's create the <ChartTooltip /> component with the following code:

import React from "react";
export const ChartTooltip = ({
  active,
  payload,
  label,
  coordinate,
  colors,
  kpi,
}: any) => {
  if (active && payload && payload.length) {
    const dataPoint = payload[0].payload;

    const tooltipStyle = {
      left: coordinate.x, // Adjust positioning
      top: coordinate.y, // Adjust positioning
    };

    return (
      <div
        className="flex flex-col items-start justify-center rounded-lg border border-black p-1 text-zinc-50"
        style={tooltipStyle}
      >
        <div
          style={{
            position: "absolute",
            width: "0",
            height: "0",
            borderTop: "10px solid transparent",
            borderBottom: "10px solid transparent",
            borderRight: "10px solid rgba(0, 0, 0, 0.7)",
            left: "-10px",
          }}
        />
        <p className="flex text-xs font-semibold">{label}</p>
        <p className="text-xs">
          <span
            className="mr-1"
            style={{
              width: "0.5px",
              height: "0.5px",
              border: `1px solid ${colors?.stroke}`,
              backgroundColor: colors?.fill,
            }}
          >
            &nbsp;&nbsp;&nbsp;&nbsp;
          </span>
          {`${kpi}: ${dataPoint.value}`}
        </p>
      </div>
    );
  }

  return null;
};

Now we have all the components for displaying <TabView /> ready. So, we'll import and display it inside the dashboard below <Stats />. Let's update the <Dashboard /> component with the below code:

import React, { useMemo } from "react";
import { CrudFilter, useList } from "@refinedev/core";
import dayjs from "dayjs";
import Stats from "../../components/dashboard/Stats";
import { ResponsiveAreaChart } from "../../components/dashboard/ResponsiveAreaChart";
import { ResponsiveBarChart } from "../../components/dashboard/ResponsiveBarChart";
import { TabView } from "../../components/dashboard/TabView";
import { IChartDatum, TTab } from "../../interfaces";

const filters: CrudFilter[] = [
  {
    field: "start",
    operator: "eq",
    value: dayjs()?.subtract(7, "days")?.startOf("day"),
  },
  {
    field: "end",
    operator: "eq",
    value: dayjs().startOf("day"),
  },
];

export const Dashboard: React.FC = () => {
  const { data: dailyRevenue } = useList<IChartDatum>({
    resource: "dailyRevenue",
    filters,
  });

  const { data: dailyOrders } = useList<IChartDatum>({
    resource: "dailyOrders",
    filters,
  });

  const { data: newCustomers } = useList<IChartDatum>({
    resource: "newCustomers",
    filters,
  });

  const useMemoizedChartData = (d: any) => {
    return useMemo(() => {
      return d?.data?.data?.map((item: IChartDatum) => ({
        date: new Intl.DateTimeFormat("en-US", {
          month: "short",
          year: "numeric",
          day: "numeric",
        }).format(new Date(item.date)),
        value: item?.value,
      }));
    }, [d]);
  };

  const memoizedRevenueData = useMemoizedChartData(dailyRevenue);
  const memoizedOrdersData = useMemoizedChartData(dailyOrders);
  const memoizedNewCustomersData = useMemoizedChartData(newCustomers);

  const tabs: TTab[] = [
    {
      id: 1,
      label: "Daily Revenue",
      content: (
        <ResponsiveAreaChart
          kpi="Daily revenue"
          data={memoizedRevenueData}
          colors={{
            stroke: "rgb(54, 162, 235)",
            fill: "rgba(54, 162, 235, 0.2)",
          }}
        />
      ),
    },
    {
      id: 2,
      label: "Daily Orders",
      content: (
        <ResponsiveBarChart
          kpi="Daily orders"
          data={memoizedOrdersData}
          colors={{
            stroke: "rgb(255, 159, 64)",
            fill: "rgba(255, 159, 64, 0.7)",
          }}
        />
      ),
    },
    {
      id: 3,
      label: "New Customers",
      content: (
        <ResponsiveAreaChart
          kpi="New customers"
          data={memoizedNewCustomersData}
          colors={{
            stroke: "rgb(76, 175, 80)",
            fill: "rgba(54, 162, 235, 0.2)",
          }}
        />
      ),
    },
  ];

  return (
    <>
      <Stats
        dailyRevenue={dailyRevenue}
        dailyOrders={dailyOrders}
        newCustomers={newCustomers}
      />
      <TabView tabs={tabs} />
    </>
  );
};